Russell Sage Foundation Proposal Project Title: Deliberative Lives of the Poor: Understanding Real-time Decision-Making Under Financial Scarcity Response to Reviewers • Two reviewers expressed concerns with the sample size. To address this while maintaining a balanced budget, we’ve increased the sample size of the first phase (quantitative) by 33 percent while decreasing the sample size of the last phase (qualitative) by 20 percent. • We maintain a small sample in the final phase. This phase consists of rigorous qualitative analyses. We are confident the proposed sample sizes will provide the level of insight necessary for this project and is consistent with other projects that use similar methods (see Sandelowski, 1995). • Keeping in mind the possible attrition, we intend on offering a completion bonus in the form of a lottery. Participants who are selected and who complete all four phases will be entered into a public lottery to earn an extra $1000. • One of the reviewers suggested including standard psychological tests, such as those used in Mani, et al., 2013, and behavioral economic measures. We appreciated this suggestion and have extended our proposal to include a fourth component that is to take place in our lab (see Phase 2 below). • The reviewers expressed concern that there was no clear hypothesis and that our design may lead to multiple hypotheses testing and data mining. We have 1 broken down our hypotheses into smaller, simpler questions to address this. We maintain, however, that this project is designed to be exploratory, collecting data in different ways to complement the existing literature and guide future studies. • In regards to the multiple hypothesis testing we remind reviewers of the “radically open” approach this project takes on, where from start to finish our information and data will be available to the public. • One of the reviewers noted our budget was missing payments to participants. This has now been included and is reflected in the budget. • One of the reviewers noted a potential selection bias due to timing of phone calls in the repeated qualitative phone surveys. To address this, we will be soliciting up to 5 available time blocks for each participant, one of these blocks will be randomly selected for each day a call is to be scheduled. If the participant misses the call the next time block will be used. If a participant misses a day an additional day will be added. Refusals to participate on a given day will be treated as missing data. Statement of Significance Deliberative Lives of the Poor is an exploratory, mixed methods research initiative that seeks to advance our understanding of decision-making processes in the context of financial scarcity. Over the past two decades, the study of poverty and inequality has been revolutionized by randomized controlled trials, which allow researchers to identify which programs work and which do not. This method has been highly successful in 2 identifying effective interventions: for instance, an after-school program for at-risk youth reduced arrests for violent crime (Heller, Pollack, Ander, & Ludwig, 2013); commitment savings devices helped individuals increase their savings rates (Benartzi & Thaler, 2007). Importantly, many of the most cost-effective programs target behavioral mechanisms: for instance, commitment savings devices capitalize on the common behavioral irregularity known as “present bias” and help people overcome present bias by offering options to commit ex ante to desirable (from their point of view) decisions. The fact that poverty alleviation programs based on behavioral mechanisms are highly successful suggests that poverty itself may affect cognition and decision-making. Indeed, it has recently been shown that poverty (and, more generally, “scarcity”) can lead to short-sighted and suboptimal behaviors (Haushofer & Fehr, 2014; Shah, Mullainathan, & Shafir, 2012) and even impair executive control and fluid intelligence (Mani, Mullainathan, Shafir, & Zhao, 2013). Others have hypothesized that poverty affects not only cognitive capacities but also one’s thoughts and beliefs: for instance, Dalton, Ghosal, & Mani (2014) argue that poverty induces a behavioral bias in setting aspirations, a so-called ‘aspirations failure’, which in turn reduces effort and thus perpetuates poverty. Indeed, inspiring poor individuals to increase their agency has been shown to improve both well-being and economic outcomes (Bernard, Dercon, Orkin, & Taffesse, 2014; Ghosal, Jana, Mani, Mitra, & Roy, 2013). Thus, previous research suggests that behavioral interventions are highly effective at alleviating poverty (Ashraf, Karlan, & Yin, 2006; Datta & Mullainathan, 2014), possibly 3 because poverty itself has particular behavioral and cognitive characteristics that these interventions can target. However, previous research has not asked systematically whether and how the patterns of thoughts and behaviors of people living in poverty differ systematically from that of people living in affluence. Instead, researchers have used intuition and insights from rich populations (e.g. college students) to make predictions about the behavioral patterns of the poor. This approach potentially misses important behavioral and cognitive regularities that are characteristic of living in poverty. To put it bluntly, a large and prominent field of research now tries to understand how the poor think and about what, but nobody has simply asked them. The present study therefore asks in an open-ended fashion: What do poor people think about at a given moment? What decisions do they make on a daily basis? How do they make these decisions? Together, this project will shed new light on the behavioral and cognitive features of poverty and provide a rich database, which researchers can use to generate new hypotheses about the origins and consequences of poverty and for developing new poverty alleviation interventions. The present project proposes to fill the gap between what researchers believe the poor think and what they actually think by asking individuals in a low-income neighborhood in the United States what they think about and how they make decisions on a daily basis. The project mirrors and naturally builds off of the seminal research project Portfolios of the Poor (Collins, 2011), both in its methodology and the types of insights it provides. In 2010, Portfolios transformed how the academic and policy community thought about the financial lives of the poor by making two contributions: first, to provide detailed diaries 4 about the financial lives of the poor; second, to provide this data at high temporal frequency, allowing researchers to track the cash flow of low-income households over time (Collins, 2011). This project builds on the methodology by including multiple data collection methods, including a component conducted in the lab. The goal of the “Deliberative Lives” project is to make a similar contribution for thoughts and decisions: first, to provide a detailed account of what poor people think about and decide on a daily basis; second, to provide this data at high temporal resolution; and third, to characterize the external and internal constraints that shape their thoughts and decisions. Thus, the Deliberative Lives project will do for broader cognition and decision-making what Portfolios of the Poor did for financial behaviors. Four data collection activities will be undertaken to provide a full picture of the deliberative lives of the poor: 1. A one-time quantitative survey; 2. A one-time lab session; 3. A repeated, qualitative phone-call survey 4. Weekly real-time diaries collected by phone. In the following sections we describe each of these phases in detail. Phase 1: Quantitative one-time survey Data collected 5 In this phase, we will compare the decisions, thoughts, and emotions of people facing financial scarcity to those of people living in relative wealth. To this end, a quantitative survey will be conducted with 300 low-income individuals, 150 middle-income, and 150 middle- to high-income individuals living in Trenton, NJ. The survey asks individuals about (1) the parameters of the decisions they make, including the domain, their choice sets, the time horizon, and whom the decisions affect; (2) the process of making the decision, including their assessment of priorities and tradeoffs, the influence of religion and other worldviews, resources available to achieve desired outcomes, and the social supports they draw upon in making decisions; and (3) their evaluation of the decisionmaking process and its outcome, including associated emotions and assessments of difficulty and satisfaction. This survey will provide a comprehensive picture of the decision-making processes of poor compared to wealthier individuals. Specifically, the survey has the following components. First, it asks respondents to list the most important decision made in the past year, the most important decision made in the past month, and a decision in the past month the respondent is unhappy with. Second, for each of these decisions, it collects elicit information about the exact nature of the decision; whether it primarily affected the respondent or another person; how usual decisions of this type are for the respondent; how complex the sequence of steps was the respondent had to complete to implement the decision; how long the respondent considered the decision; whom the respondent consulted; which factors the respondent considered (e.g. financial security, friends’/relatives’ opinion, personal health and safety, long-term goals, intuition); how many alternatives the respondent 6 typically considers in such decision-making situations; whether the respondent had to make sacrifices; whether the respondent regrets the decision; how difficult it was to make and how much confidence the respondent has that it was the right decision; and which emotions the respondent experienced while making the decision. The respondents for this phase will be low-income, middle-income, and high-income individuals from Trenton, NJ. All respondents are members of the Busara Center for Behavioral Economics’ (Busara) subject pool. Busara, founded in Nairobi, Kenya in 2012, is a leading research institution that enables researchers to conduct surveys especially with low-income populations. The Busara Lab in Trenton, NJ opened in 2014. Hypotheses The overarching goal of this project is to generate open-ended, exploratory, descriptive data on the decisions and thought processes in poverty. Thus, this project tries to take an approach that is decidedly not hypothesis-driven. However, given recent findings in behavioral and development economics (e.g. Haushofer, Epper, Schunk, & Fehr, 2013; Haushofer & Fehr, 2014; Mani et al., 2013; Tanaka, Camerer, & Nguyen, 2010), we can nevertheless formulate predictions that we expect to see borne out by the data. Most importantly, much like what was found in Portfolios of the Poor, we anticipate that the poor have rich deliberative lives and that they are as sophisticated and considerate in weighing options for each decision as the rich are, and in some instances (i.e. financial decisions) they may be even more considerate (Shah, Shafir, & Mullainathan, 2015). Importantly, we expect that the number and complexity of decisions that the poor make 7 will be greater than that of the middle- or high-income sample. However, we also anticipate that the more decisions the poor make, the fewer options they will consider for each given decision, leading to increased regret of decisions made. Together, this phase of the project will provide a rich quantitative picture of the decisions poor and rich people make. Phase 2: Lab session Data collected In this phase, we will explore cognitive processes of the participants using standard measures commonly found in behavioral sciences. The purpose of this phase is twofold: 1) it allows us to link the current study to the existing literature in cognitive economics (Mani, et al., 2013; Carvalho, et al., 2015) and 2) it allows us to gather more objective measures of cognition and to correlate this data with the survey data and diary data we collect in the other phases. Participants will be invited into the lab on a month that will be chosen randomly from the full duration of this project. These participants will be the same as those surveyed in Phase 1, of which a subset will be selected for Phases 3 and 4. Cognitive measures. Raven’s Progressive Matrices will be used to assess the participants’ reasoning abilities. The Raven’s test is commonly used as a measure of “fluid intelligence,” assessing one’s ability to solve problems in new situations (Engle, et 8 al., 1999; Raven, 2000). As a measure of cognitive control and attention, participants will be given Stroop-like tasks where they will be tasked with identifying images that will either be congruent to the automatized response or incongruent, requiring a certain level of cognitive effort (Stroop, 1935; Cohen, et al., 1990; Davidson, et al., 2006). We also propose two new experiments as measures of cognition. In order to assess one’s reliance on attributes when making decisions, we will use a real-effort task where participants will be asked to make a choice between two items; one item will be accompanied by a list of descriptive attributes (i.e. price, weight, size) and the other item will require participants to complete a series of tasks in order to reveal the attributes. Attribute-based models of decision-making are becoming increasingly popular in explaining anomalies found in traditional models (Stewart, et al., 2006; Scholten & Read, 2010). One can imagine a situation in which a person does not want or does not need more information and therefore foregoes taking on the effort tasks, leading to more naïve decisions; here we will test this. Finally, we will assess the participants’ perception of price and their expensiveness threshold, a differential threshold that suggests the minimum amount of change in a price necessary to produce a “just noticeable difference” in expensiveness. What proportion of an item’s price needs to change for an inexpensive item to now be considered expensive? This idea is borrowed from decision-making models where values are derived from psychoeconomic functions. Economic measures. In this phase we will also measure standard risk and time preferences. Similar to the economic measures used by Carvalho and colleagues 9 (2015) we will measure time preference using two intertemporal choice tasks (Andreoni & Sprenger, 2012; Augenblick, et al., 2014) and one risk choice task (Eckel & Grossman, 2002). Hypotheses We expect poor and rich subjects to have similar cognitive measures overall and also exert similar information-seeking efforts, even if their behaviors are ultimately different. We therefore hypothesize the difference in behavioral responses in the other phases will result from variation in the environment in which subjects make decisions and not from variation in cognitive functioning or sophistication on decision-making processes. In this phase we will measure time and risk preferences associated with economic decision-making as well as logical reasoning, attention, and cognitive functioning. We will also trial two new experimental designs, expecting the poor and the rich to exert similar effort levels to gather information prior to making a decision and exhibiting similar proportional thresholds of expensiveness. Phase 3: Repeated, qualitative phone-call survey Data collected The second phase of the project will consist of seven phone calls with a subset of respondents (100 low-income and 100 middle- and high-income) from the previous phases to explore the contexts in which decisions are made by tracking daily thoughts 10 and experienced emotions. This phase asks individuals what they think about on a daily basis, what their greatest sources of worry and joy are, and what emotions they experience during daily activities, including making decisions. Thus, in contrast to phase 1, in this phase we obtain a dynamic picture of the decision-making processes of poor and rich individuals. Specifically, the phone survey will consist of the following components. First, respondents will be asked what they were thinking just before they received the call from the field officer, whether that thought was positive or negative, and what they spend most of their time thinking about. Second, respondents will be asked to name one positive and one negative thing that happened on the day of the survey. Third, we will ask respondents what their biggest source of worry in life is. Fourth, respondents will be asked whether they recently experienced a number of negative emotions such as anger, depression, or worry. To eliminate selection bias, which may arise from emotional states influencing the participants willingness to answer the phone, the timing of the phone call will be determined by asking participants to provide up to five potential 1-hour blocks when they are usually available to speak and randomly selecting one of these times for each given day. If a participant does not respond, the next time block will be used. If a participant misses a day an additional day will be added. Refusals to participate on a given day will be taken as missing data. 11 Hypotheses While this project is deliberately exploratory, we do expect to add to the literature by exploring familiar results through a different lens, allowing us to formulate hypotheses about the results of this study based on the previous literature. In particular, we expect that the poor are more likely to think negative than positive thoughts compared to those who are wealthier, and that they are faster in recalling negative compared to positive events that happened to them. We further expect them to have an easier time naming worries than the rich, and a harder time naming positive emotions. Finally, in analyzing how positive and negative thoughts change over time, we hypothesize that we will observe more variability in the cognition of the poor compared to the rich over time. Together, the results from this phase will generate a dynamic picture of cognition of the poor compared to the rich. Phase 4: Weekly real-time diaries collected by phone Data collected In a third phase, we will conduct biweekly in-depth interviews over four months with a (subset) sample of 40 low-income and 40 middle- to high-income respondents to obtain high-frequency data on the decision-making process and respondents’ long-term goals. In each sample we aim to have 40 individuals, 20 whom are couples in order to get a closer look at household decision-making between the two groups. This phase will consist of two components. First, respondents are asked about a 12 specific decision they made in the past two weeks: What considerations did they undertake in making this decision? What options did they consider, and which factors influenced their choice? Did they find the decision difficult or easy, and why? How did they feel about the decision after they made it? Second, respondents will be asked to list their long-term goals (e.g. sending a child to university). Then, for each long-term goal, they will be asked when they hope to reach this goal, which factors they think will help them achieve the goal, how they work towards the goal on a daily/weekly/monthly basis, who helps them in the process, and which obstacles they might encounter. Hypotheses While the data collected in phase 2 will provide a rich picture of cognition in poverty, this phase aims to take a closer look at the decision-making process. Together, the answers to these questions will provide a rich dynamic picture of decision-making in poverty. We hypothesize that the poor will have a greater number of decisions to consider than the rich, and most importantly, that there will be more variability in the number of decisions and their difficulty across time among the poor and the rich. In addition, when asking about long-term goals, we hypothesize that the poor will have lower aspirations than the rich and that these aspirations will be more variable over time. Additionally, we expect that the poor will report more obstacles that can get in the way of reaching their longterm goals. Data Analysis 13 Together, these data collection activities will provide a rich, nuanced picture of decisionmaking and cognition in poverty. Using this data, we will conduct both quantitative and qualitative analyses. The former will provide an aggregate, representative, statistical view of what types of decisions are most important to individuals, what the most common factors and influences in making decisions are, and how individuals feel about their decisions on average. Structural Topic Modeling will be used as the analytic strategy for open-ended survey responses along with other strategies used to engage the general public, such as word clouds. The in-depth qualitative analysis will provide a nuanced, narrative view, exploring not only the results of the decision-making process but also the pathways by which decisions are made and the accompanying feelings and perceptions. Dissemination of results This research is unique in the extent to which it will collect fundamental data on individual decision-making processes, and how those processes vary based on individuals’ economic conditions. Unlike an experiment with a specific, tested hypothesis, which can be disseminated effectively through a single journal article, extracting value from this data will require extensive exploration of the data by researchers of various disciplines. To enable such a process, and maximize the social 14 value of this data, we aim to disseminate both data and results broadly through a novel “radically open” research initiative. This project will be “radically open” from start to finish: all phases of the project, including design, implementation, and analysis, will be fully transparent to other researchers and the general public through an online portal and social media links. Both other researchers and the general public can provide feedback and suggestions at all stages of the process. Importantly, the data will be publicly available (in anonymized form) as soon as it is collected, rather than only after publication of the first paper, and can be analyzed by anyone. This approach contrasts with the prevalent paradigm in social science research, in which the evolution of the project is usually only known to a small group of researchers, which makes the process opaque to the public and the wider research community, thereby reducing accountability and preventing useful suggestions (both in design and analysis) from being incorporated early on (Miguel et al., 2014; Nosek, Spies, & Motyl, 2012). We believe that our “radically open” approach will encourage re-analysis and replication of results as well as additional analyses of interest to the scientific community and the general public, and will more generally contribute to making social science more open and transparent. Busara has recently partnered with the Center for Open Science (COS) to host the Deliberative Lives project on their website. In addition, the principal investigators of this study will conduct their own analysis of the data, and publish research papers and articles describing the main scientific insights 15 from the project. These papers will be presented at academic conferences such as the American Economic Association Annual Conference or the New England Universities Development Conference, and will be will be submitted for publication in academic journals. Beyond these outlets, we anticipate that the open data aspect of this research will produce findings from a variety of researchers, who will then disseminate these findings through various means, including conferences, news outlets and social media. Conclusion In sum, the Deliberative Lives project provides a novel, open-ended approach to describing and understanding cognition and decision-making under conditions of poverty and, in doing so, contributes importantly to a core research area of the Foundation. In particular, the project furthers the Foundation’s goals by generating insights about poverty which may eventually be used to design and test poverty alleviation programs. For instance, some findings may suggest ways to remove or reduce barriers to positive self-belief and aspirations; others may identify ways to capitalize upon and scale up strategies that those living in poverty already use to alleviate bandwidth taxes or commit to savings goals. At the same time, the project pioneers a novel, open approach to social science. Together, this work will provide, in real-time, a rich database of raw material to stimulate both research and policies to understand and alleviate poverty. Key Personnel 16 The project team has extensive experience in behavioral economics and psychology. Johannes Haushofer is an Assistant Professor of Psychology and Public Affairs at Princeton University and founded the Busara Center for Behavioral Economics in Trenton, NJ and Nairobi, Kenya. He holds a Ph.D. in Neurobiology from Harvard University and a Ph.D. in Economics from the University of Zurich. Jeremy Shapiro is the President of the Busara Center for Behavioral Economics. He holds a Ph.D. in Economics from MIT and is a co-founder and former director of GiveDirectly, an NGO dedicated to facilitating unconditional cash transfers. He and Johannes have extensive experience designing and conducting laboratory and field-based studies with lowincome populations in diverse settings. They have also authored numerous scholarly articles and have a track record of producing original research on behavioral phenomena and the relationship between stress, decision-making, and poverty. Rafael Batista holds a B.S. (Hons) in Psychology and a B. A. in International Affairs from Florida State University and a M.S. in Behavioral & Economic Science from the University of Warwick and Warwick Business School. He is currently a Research Associate at the Busara Center for Behavioral Economics. Rafael contributes an interdisciplinary approach to behavioral science, particularly in the area of cognition and decision-making. Together, Johannes, Jeremy, and Rafael contribute backgrounds in behavioral economics, development economics, cognitive and decision science, neuroscience, and social psychology that will enhance the scope of the research questions and the quality of the data collected. At Princeton, they have access to a 17 wealth of academic resources and to a strong channel for dissemination of results to students and researchers in the fields of psychology and public affairs. Budget justification A total of $116,411 is requested for this project and is comprised of the following: • Research assistance: $46,238 for two part-time Research Assistants for two years to conduct data collection and analysis ($22,777 in year 1, $23,461 in year 2) • Fringe benefits: $15,490 • Respondent compensation: $38,600 (Phase 1 - $9,000; Phase 2 - $12,000; Phase 3 - $7,000; Phase 4 - $9,600; Completion Lottery - $1,000) • Other Direct Costs: $900 o Travel: $400 for data collection o Equipment: $500 for 2 audio recorders ($300), airtime ($200) • Indirect costs (15%): $15,184 Workplan • March 15, 2016: Launch of Phase 1 data collection 18 • April 1, 2016: Launch of Phase 2 data collection (two lab sessions will be held at the beginning and end of each month for 6 months; participants will be randomly invited to participate in one session during this period) • April 1, 2016: Launch of Phase 3 data collection, real-time dataset for Phases 1 and 3 posted online • July 1, 2016: Completion of Phase 1 data collection • August 1, 2016: Completion of Phase 3 data collection and start of data analysis of Phases 1 and 3 • October 1, 2016: Completion of data collection and start of data analysis of Phase 2 • November 1, 2016: Launch of Phase 4 data collection • November 15, 2016: Completion of data analysis of Phases 1 and 3 • March 15, 2017: Completion of Phase 4 data collection • July 15, 2017: Completion of Phase 4 data analysis • September 15, 2017: Research paper(s) submitted 19 References Andreoni, J., & Sprenger, C. (2012). Risk preferences are not time preferences. The American Economic Review, 102(7), 3357-3376. Ashraf, N., Karlan, D., & Yin, W. (2006). Tying Odysseus to the mast: Evidence from a commitment savings product in the Philippines. The Quarterly Journal of Economics, 635-672. Augenblick, N., Niederle, M., & Sprenger, C. (2013). Working over time: Dynamic inconsistency in real effort tasks. Forthcoming. Quarterly Journal of Economics. Benartzi, S., & Thaler, R. H. (2007). Heuristics and Biases in Retirement Savings Behavior. Journal of Economic Perspectives, 21(3), 81–104. http://doi.org/10.1257/jep.21.3.81 Bernard, T., Dercon, S., Orkin, K., & Taffesse, A. S. (2014). The Future in Mind: Aspirations and Forward-Looking Behaviour in Rural Ethiopia (SSRN Scholarly Paper No. ID 2514590). Rochester, NY: Social Science Research Network. Retrieved from http://papers.ssrn.com/abstract=2514590 Carvalho, L. S., Meier, S., & Wang, S. W. (in press). Poverty and economic decisionmaking: Evidence from changes in financial resources at payday. American Economic Review. Cohen, J. D., Dunbar, K., & McClelland, J. L. (1990). On the control of automatic processes: a parallel distributed processing account of the Stroop effect. Psychological Review, 97(3), 332. Collins, D. (Ed.). (2011). Portfolios of the poor: how the world’s poor live on $2 a day (8. print., and 1. paperback print). Princeton, NJ: Princeton Univ. Press. 20 Dalton, P. S., Ghosal, S., & Mani, A. (2014). Poverty and Aspirations Failure. The Economic Journal, n/a–n/a. http://doi.org/10.1111/ecoj.12210 Datta, S., & Mullainathan, S. (2014). Behavioral design: A new approach to development policy. Review of Income and Wealth, 60(1), 7-35. Davidson, M. C., Amso, D., Anderson, L. C., & Diamond, A. (2006). Development of cognitive control and executive functions from 4 to 13 years: Evidence from manipulations of memory, inhibition, and task switching. Neuropsychologia, 44(11), 2037-2078. Eckel, C. C., & Grossman, P. J. (2002). Sex differences and statistical stereotyping in attitudes toward financial risk. Evolution and Human Behavior, 23(4), 281-295. Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. (1999). Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. Journal of experimental psychology: General, 128(3), 309. Ghosal, S., Jana, S., Mani, A., Mitra, S., & Roy, S. (2013). Sex Workers, Stigma and Self-Belief: Evidence from a Psychological Training Program in India. Warwick University Working Paper. Haushofer, J., Epper, T., Schunk, D., & Fehr, E. (2013). Negative Income Shocks Increase Present Bias. University of Zurich Working Paper. Haushofer, J., & Fehr, E. (2014). On the psychology of poverty. Science, 344(6186), 862–867. http://doi.org/10.1126/science.1232491 Heller, S., Pollack, H. A., Ander, R., & Ludwig, J. (2013). Preventing Youth Violence and Dropout: A Randomized Field Experiment (Working Paper No. 19014). National Bureau of Economic Research. http://www.nber.org/papers/w19014 21 Retrieved from Mani, A., Mullainathan, S., Shafir, E., & Zhao, J. (2013). Poverty Impedes Cognitive Function. Science, 341(6149), 976–980. http://doi.org/10.1126/science.1238041 Miguel, E., Camerer, C., Casey, K., Cohen, J., Esterling, K. M., Gerber, A., … Van der Laan, M. (2014). Promoting Transparency in Social Science Research. Science (New York, N.Y.), 343(6166), 30–31. http://doi.org/10.1126/science.1245317 Nosek, B. A., Spies, J. R., & Motyl, M. (2012). Scientific Utopia II. Restructuring Incentives and Practices to Promote Truth Over Publishability. Perspectives on Psychological Science, 7(6), 615–631. http://doi.org/10.1177/1745691612459058 Raven, J. (2000). The Raven's progressive matrices: change and stability over culture and time. Cognitive Psychology, 41(1), 1-48. Sandelowski, M. (1995). Sample size in qualitative research. Research in Nursing & Health, 18, 179-183. Scholten, M., & Read, D. (2010). The psychology of intertemporal tradeoffs. Psychological Review, 117(3), 925. Shah, A. K., Mullainathan, S., & Shafir, E. (2012). Some Consequences of Having Too Little. Science, 338(6107), 682–685. http://doi.org/10.1126/science.1222426 Shah, A. K., Shafir, E., & Mullainathan, S. (2015). Scarcity frames value. Psychological Science, 26(4), 402-412. Stewart, N., Chater, N., & Brown, G. D. (2006). Decision by sampling. Cognitive Psychology, 53(1), 1-26. Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643. 22 Tanaka, T., Camerer, C. F., & Nguyen, Q. (2010). Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam. American Economic Review, 100(1), 557–571. http://doi.org/10.1257/aer.100.1.557 23 Appendix 1. Survey Instruments Survey 1: Quantitative One-time Survey Instrument 1. Please tell me about the most important decision you made in the last year (Code respondent’s answer to finance, health, children, and relationships, other) 2. Please tell me about the most important decision you made in the last month 3. Please tell me about a decision you made in the last month that you are unhappy with or that you think someone else would be unhappy with (children, spouse, parents, neighbors, community). 4. For Decision 1, the most important decision made in the last year: a. What did you decide in this case? (open-ended) b. Would the decision outcomes primarily affect you or someone else (your family, friends, community, etc)? i. You ii. Someone else iii. Both iv. Neither c. How often do you make decisions similar to this one? i. Almost never ii. Rarely iii. Sometimes iv. Often d. Did you consider this decision to be i. A task that must be done ii. An opportunity for improvement iii. Both iv. Neither e. How many steps were necessary to carry out the decision you made? 24 i. ii. iii. One A few Many f. How long did you think about this before making a final decision? i. Seconds ii. Minutes iii. Days iv. Weeks v. Months vi. A year or more g. Did you start thinking about it, then stop, then come back to it later? Yes / No h. Did you talk to anyone else about this decision? Yes / No i. If yes, who? ii. If yes, what did you ask them? 1. What they would do 2. What they have done in past situations 3. What you should do 4. Who else to talk to 5. Other iii. If yes, did you follow their advice? Yes / N i. Did you consider the following factors when making this decision? i. Financial security, such as the need to pay fees, purchase basic needs, pay off loans. Y/N ii. What your friends and peers would think of you / your social status. Y/N iii. Your relationships with friends, family, or peers. Y/N iv. Your personal comfort and pleasure. Y/N v. Your personal health, safety, and wellbeing. Y/N vi. Your family’s health, safety, and wellbeing. Y/N vii. Your long-term goals. Y/N viii. How much time the action would take. Y/N ix. What other people in your community would do. Y/N x. Your intuition / gut feeling. Y/N xi. What has and hasn’t worked in the past. Y/N xii. You and your family’s immediate needs. Y/N 25 xiii. xiv. Your religious beliefs. Y/N Other (specify) j. Of the factors listed in (i), which two did you consider to be most important in this decision? (choose 2) i. Financial security, such as the need to pay fees, purchase basic needs, pay off loans ii. What your friends and peers would think of you / your social status iii. Your relationships with friends, family, or peers iv. Your personal comfort and pleasure v. Your personal health, safety, and wellbeing vi. Your family’s health, safety, and wellbeing vii. Your long-term goals viii. How much time the action would take ix. What other people in your community would do x. Your intuition / gut feeling xi. What has and hasn’t worked in the past xii. You and your family’s immediate needs xiii. Your religious beliefs xiv. Other (specify) k. How many other options did you consider besides what you decided? i. No other ii. One other iii. A few other iv. Many other l. Did you have to make any important sacrifices in making this decision? Yes / No i. If yes, what were these sacrifices? m. When you made this decision, over what time period did you consider the potential impacts of this decision on yourself or your family? i. Several minutes ii. Several days iii. Several months iv. 1-2 years v. More than 3 years vi. Lifetime 26 n. Who does this decision impact? i. For each person listed: did you think about this person while you were deciding what to do? Yes / No o. On a scale from 1-4 with 1 being completely insufficient and 4 being completely sufficient and N/A being not considered, at the time I felt that I had sufficient or insufficient of the following: Completely insufficient | Moderately insufficient | Moderately sufficient | Completely sufficient | N/A 1 2 3 4 99 i. ii. iii. iv. v. vi. vii. Time Money Knowledge or skills Health Social support from my friends, family, or community Financial support from my friends, family, or community Other (specify) p. Did you wish you had been able to make or should have made another decision than the one you ended up making? Yes / No i. If yes, which factors led to you making the decision you ended up making? (choose all that apply) 1. Insufficient time 2. Insufficient money 3. Insufficient knowledge or skills 4. Consideration of long-term goals over immediate needs or desires 5. Consideration of immediate needs or desires over long-term goals 6. Consideration of other people’s preferences and wellbeing over your own (e.g. spouse, parents, children) 7. Lack of social support from your friends, family, or community 8. My religious beliefs 9. My health status 10. Other (specify) 27 q. Please rate on a scale of 1 – 4 with 1 being not at all and 4 being completely, the degree to which you experienced the following while you were making this decision: Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 i. ii. iii. iv. v. vi. vii. viii. I felt certain that I could achieve my desired outcome I felt this decision was easy to make I intentionally avoided or delayed making the final decision I felt powerless to make the best decision In the grand scheme of things, it didn’t really matter which decision I made I went back and forth on this decision several times I enjoyed making this decision I feared that I would not make the best decision r. Please rate on a scale of 1 – 4 with 1 being not at all and 4 being a great deal, how much you experienced the following feelings while you were making this decision: Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 i. ii. iii. iv. v. vi. vii. viii. Stressed: Overwhelmed: Joyful / happy: Helpless: Energized and motivated: Fearful / anxious: Optimistic: A sense of accomplishment: s. Do you think that amount of time is: longer than it should take to make this decision, the right amount of time or shorter than the right amount of time to make this decision? i. If longer, why did it take so long? (choose all that apply) 1. I deliberated because I found the decision difficult to make 2. I was waiting until I obtained the necessary money 28 3. I was waiting until I obtained the necessary information or skills 4. I was waiting until I had enough time or was putting it off 5. I was waiting on others’ advice, support, or actions 6. Other (specify) t. On a scale of 1 – 5, please tell me how much you agree with the following statements: Strongly disagree Disagree Neutral Agree Strongly Agree 1 2 3 4 5 i. ii. iii. iv. v. I felt I should have made another decision than the one I made I felt that I let myself or others down in my decision I felt satisfied with my decision I felt that this decision was very important to my or my family’s wellbeing I feel that I will regret my decision in the future ______________________________________________________________________ 1. For Decision 2, the most important decision made in the last month: a. What did you decide in this case? (open-ended) b. Would the decision outcomes primarily affect you or someone else (your family, friends, community, etc)? i. You ii. Someone else iii. Both iv. Neither c. How often do you make decisions similar to this one? i. Almost never ii. Rarely iii. Sometimes iv. Often d. Did you consider this decision to be i. A task that must be done 29 ii. iii. iv. An opportunity for improvement Both Neither e. How many steps were necessary to carry out the decision you made? i. One ii. A few iii. Many f. How long did you think about this before making a final decision? i. Seconds ii. Minutes iii. Days iv. Weeks v. Months vi. A year or more g. Did you start thinking about it, then stop, then come back to it later? Yes / No h. Did you talk to anyone else about this decision? Yes / No i. If yes, who? ii. If yes, what did you ask them? 1. What they would do 2. What they have done in past situations 3. What you should do 4. Who else to talk to 5. Other iii. If yes, did you follow their advice? Yes / N i. Did you consider the following factors when making this decision? i. Financial security, such as the need to pay fees, purchase basic needs, pay off loans. Y/N ii. What your friends and peers would think of you / your social status. Y/N iii. Your relationships with friends, family, or peers. Y/N iv. Your personal comfort and pleasure. Y/N v. Your personal health, safety, and wellbeing. Y/N vi. Your family’s health, safety, and wellbeing. Y/N vii. Your long-term goals. Y/N 30 viii. ix. x. xi. xii. xiii. xiv. How much time the action would take. Y/N What other people in your community would do. Y/N Your intuition / gut feeling. Y/N What has and hasn’t worked in the past. Y/N You and your family’s immediate needs. Y/N Your religious beliefs. Y/N Other (specify) j. Of the factors listed in (i), which two did you consider to be most important in this decision? (choose 2) i. Financial security, such as the need to pay fees, purchase basic needs, pay off loans ii. What your friends and peers would think of you / your social status iii. Your relationships with friends, family, or peers iv. Your personal comfort and pleasure v. Your personal health, safety, and wellbeing vi. Your family’s health, safety, and wellbeing vii. Your long-term goals viii. How much time the action would take ix. What other people in your community would do x. Your intuition / gut feeling xi. What has and hasn’t worked in the past xii. You and your family’s immediate needs xiii. Your religious beliefs xiv. Other (specify) k. How many other options did you consider besides what you decided? i. No other ii. One other iii. A few other iv. Many other l. Did you have to make any important sacrifices in making this decision? Yes / No i. If yes, what were these sacrifices? m. When you made this decision, over what time period did you consider the potential impacts of this decision on yourself or your family? i. Several minutes ii. Several days 31 iii. iv. v. vi. Several months 1-2 years More than 3 years Lifetime n. Who does this decision impact? i. For each person listed: did you think about this person while you were deciding what to do? Yes / No o. On a scale from 1-4 with 1 being completely insufficient and 4 being completely sufficient and N/A being not considered, at the time I felt that I had sufficient or insufficient of the following: Completely insufficient | Moderately insufficient | Moderately sufficient | Completely sufficient | N/A 1 2 3 4 99 i. ii. iii. iv. v. vi. vii. Time Money Knowledge or skills Health Social support from my friends, family, or community Financial support from my friends, family, or community Other (specify) p. Did you wish you had been able to make or should have made another decision than the one you ended up making? Yes / No i. If yes, which factors led to you making the decision you ended up making? (choose all that apply) 1. Insufficient time 2. Insufficient money 3. Insufficient knowledge or skills 4. Consideration of long-term goals over immediate needs or desires 5. Consideration of immediate needs or desires over long-term goals 6. Consideration of other people’s preferences and wellbeing over your own (e.g. spouse, parents, children) 7. Lack of social support from your friends, family, or community 32 8. My religious beliefs 9. My health status 10. Other (specify) q. Please rate on a scale of 1 – 4 with 1 being not at all and 4 being completely, the degree to which you experienced the following while you were making this decision: Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 i. ii. iii. iv. v. vi. vii. viii. I felt certain that I could achieve my desired outcome I felt this decision was easy to make I intentionally avoided or delayed making the final decision I felt powerless to make the best decision In the grand scheme of things, it didn’t really matter which decision I made I went back and forth on this decision several times I enjoyed making this decision I feared that I would not make the best decision r. Please rate on a scale of 1 – 4 with 1 being not at all and 4 being a great deal, how much you experienced the following feelings while you were making this decision: Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 i. ii. iii. iv. v. vi. vii. viii. Stressed: Overwhelmed: Joyful / happy: Helpless: Energized and motivated: Fearful / anxious: Optimistic: A sense of accomplishment: s. Do you think that amount of time is: longer than it should take to make this decision, the right amount of time or shorter than the right amount of time to make this decision? 33 i. If longer, why did it take so long? (choose all that apply) 1. I deliberated because I found the decision difficult to make 2. I was waiting until I obtained the necessary money 3. I was waiting until I obtained the necessary information or skills 4. I was waiting until I had enough time or was putting it off 5. I was waiting on others’ advice, support, or actions 6. Other (specify) t. On a scale of 1 – 5, please tell me how much you agree with the following statements: Strongly disagree Disagree Neutral Agree Strongly Agree 1 2 3 4 5 i. ii. iii. iv. v. I felt I should have made another decision than the one I made I felt that I let myself or others down in my decision I felt satisfied with my decision I felt that this decision was very important to my or my family’s wellbeing I feel that I will regret my decision in the future ______________________________________________________________________ 1. For Decision 3, a decision you made in the last month that you are unhappy with or that you think someone else would be unhappy with: a. What did you decide in this case? (open-ended) b. Would the decision outcomes primarily affect you or someone else (your family, friends, community, etc)? i. You ii. Someone else iii. Both iv. Neither c. How often do you make decisions similar to this one? i. Almost never ii. Rarely iii. Sometimes 34 iv. Often d. Did you consider this decision to be i. A task that must be done ii. An opportunity for improvement iii. Both iv. Neither e. How many steps were necessary to carry out the decision you made? i. One ii. A few iii. Many f. How long did you think about this before making a final decision? i. Seconds ii. Minutes iii. Days iv. Weeks v. Months vi. A year or more g. Did you start thinking about it, then stop, then come back to it later? Yes / No h. Did you talk to anyone else about this decision? Yes / No i. If yes, who? ii. If yes, what did you ask them? 1. What they would do 2. What they have done in past situations 3. What you should do 4. Who else to talk to 5. Other iii. If yes, did you follow their advice? Yes / N i. Did you consider the following factors when making this decision? i. Financial security, such as the need to pay fees, purchase basic needs, pay off loans. Y/N ii. What your friends and peers would think of you / your social status. Y/N iii. Your relationships with friends, family, or peers. Y/N 35 iv. v. vi. vii. viii. ix. x. xi. xii. xiii. xiv. Your personal comfort and pleasure. Y/N Your personal health, safety, and wellbeing. Y/N Your family’s health, safety, and wellbeing. Y/N Your long-term goals. Y/N How much time the action would take. Y/N What other people in your community would do. Y/N Your intuition / gut feeling. Y/N What has and hasn’t worked in the past. Y/N You and your family’s immediate needs. Y/N Your religious beliefs. Y/N Other (specify) j. Of the factors listed in (i), which two did you consider to be most important in this decision? (choose 2) i. Financial security, such as the need to pay fees, purchase basic needs, pay off loans ii. What your friends and peers would think of you / your social status iii. Your relationships with friends, family, or peers iv. Your personal comfort and pleasure v. Your personal health, safety, and wellbeing vi. Your family’s health, safety, and wellbeing vii. Your long-term goals viii. How much time the action would take ix. What other people in your community would do x. Your intuition / gut feeling xi. What has and hasn’t worked in the past xii. You and your family’s immediate needs xiii. Your religious beliefs xiv. Other (specify) k. How many other options did you consider besides what you decided? i. No other ii. One other iii. A few other iv. Many other l. Did you have to make any important sacrifices in making this decision? Yes / No i. If yes, what were these sacrifices? 36 m. When you made this decision, over what time period did you consider the potential impacts of this decision on yourself or your family? i. Several minutes ii. Several days iii. Several months iv. 1-2 years v. More than 3 years vi. Lifetime n. Who does this decision impact? i. For each person listed: did you think about this person while you were deciding what to do? Yes / No o. On a scale from 1-4 with 1 being completely insufficient and 4 being completely sufficient and N/A being not considered, at the time I felt that I had sufficient or insufficient of the following: Completely insufficient | Moderately insufficient | Moderately sufficient | Completely sufficient | N/A 1 2 3 4 99 i. ii. iii. iv. v. vi. vii. Time Money Knowledge or skills Health Social support from my friends, family, or community Financial support from my friends, family, or community Other (specify) p. Did you wish you had been able to make or should have made another decision than the one you ended up making? Yes / No i. If yes, which factors led to you making the decision you ended up making? (choose all that apply) 1. Insufficient time 2. Insufficient money 3. Insufficient knowledge or skills 4. Consideration of long-term goals over immediate needs or desires 5. Consideration of immediate needs or desires over long-term goals 37 6. Consideration of other people’s preferences and wellbeing over your own (e.g. spouse, parents, children) 7. Lack of social support from your friends, family, or community 8. My religious beliefs 9. My health status 10. Other (specify) q. Please rate on a scale of 1 – 4 with 1 being not at all and 4 being completely, the degree to which you experienced the following while you were making this decision: Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 i. ii. iii. iv. v. vi. vii. viii. I felt certain that I could achieve my desired outcome I felt this decision was easy to make I intentionally avoided or delayed making the final decision I felt powerless to make the best decision In the grand scheme of things, it didn’t really matter which decision I made I went back and forth on this decision several times I enjoyed making this decision I feared that I would not make the best decision r. Please rate on a scale of 1 – 4 with 1 being not at all and 4 being a great deal, how much you experienced the following feelings while you were making this decision: Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 i. ii. iii. iv. v. vi. vii. viii. Stressed: Overwhelmed: Joyful / happy: Helpless: Energized and motivated: Fearful / anxious: Optimistic: A sense of accomplishment: 38 s. Do you think that amount of time is: longer than it should take to make this decision, the right amount of time or shorter than the right amount of time to make this decision? i. If longer, why did it take so long? (choose all that apply) 1. I deliberated because I found the decision difficult to make 2. I was waiting until I obtained the necessary money 3. I was waiting until I obtained the necessary information or skills 4. I was waiting until I had enough time or was putting it off 5. I was waiting on others’ advice, support, or actions 6. Other (specify) t. On a scale of 1 – 5, please tell me how much you agree with the following statements: Strongly disagree Disagree Neutral Agree Strongly Agree 1 2 3 4 5 i. ii. iii. iv. I felt I should have made another decision than the one I made I felt that I let myself or others down in my decision I felt satisfied with my decision I felt that this decision was very important to my or my family’s wellbeing v. I feel that I will regret my decision in the future ______________________________________________________________________ _ The rest of the survey is on decision-making in general and is not specific to any particular decision you have listed above. 1. Do you think you better, worse, or about the same as other people at making decisions? 2. For decisions on the way you spend money on necessary items (e.g. basic foods, school fees, rent), how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 a. enjoy making the decision? b. find it difficult to make the decision? 39 c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 3. For decisions on the way you spend money on leisure items (e.g. alcohol, nonessential clothes, movies, cigarettes, etc), how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 a. enjoy making the decision? b. find it difficult to make the decision? c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 4. For decisions on your work/business, how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 a. enjoy making the decision? b. find it difficult to make the decision? c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 5. For decisions on loans or savings, how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 a. enjoy making the decision? b. find it difficult to make the decision? c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 6. For decisions on how you spend your time, how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 a. enjoy making the decision? 40 4 4 4 b. c. d. e. find it difficult to make the decision? care about the decision? find yourself changing your mind on the final decision? feel fearful about the possible consequences of the decision? 7. For decisions affecting your family, including your spouse and children, how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 a. enjoy making the decision? b. find it difficult to make the decision? c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 8. For decisions affecting your relationships with friends and your community, how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 4 a. enjoy making the decision? b. find it difficult to make the decision? c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 9. For decisions on your health, how much do you Not at all A little/somewhat A lot/mostly Completely 1 2 3 a. enjoy making the decision? b. find it difficult to make the decision? c. care about the decision? d. find yourself changing your mind on the final decision? e. feel fearful about the possible consequences of the decision? 4 14. On a scale of 1 – 5, please tell me how much you agree with the following statements: Strongly disagree Disagree Neutral Agree Strongly 41 Agree 1 2 3 4 5 a. My life is determined by my own actions b. The decisions I make have a large effect on the happiness and health of my family c. I expect things to go well for me d. To a great extent my life is controlled by accidental happenings. e. I do not have the resources necessary to make the best decisions f. When things go right in my life, it is usually because I’m lucky g. I feel that the world is working against me h. When things go wrong in my life, it is most often because of what I’ve done or failed to do i. I feel that the future will provide me with what I need j. It’s not always wise for me to plan too far ahead because many things turn out to be a matter of good or bad fortune. k. I can pretty much determine what will happen to me financially l. I am happy with my life as a whole these days ______________________________________________________________________ Abbreviated Day reconstruction Summary Full Day INTERVIEWER: For this module, you will ask the respondent to reconstruct his or her entire previous day beginning from when s/he woke up until s/he went to sleep. You will not record the day in an event-by-event manner. You will only record broadly what was done in the morning, afternoon and evening. You will also ask the respondent how s/he felt during these 3 parts of the day. In addition, you will ask details about one experience from each part of the day. INTRODUCTION to Day Reconstruction - Full Day Now I would like to ask you questions about what you did yesterday. I want you to try to remember the sequence of activities that you did from when you woke up until when you went to sleep last night. I will start by asking you what you did in the morning yesterday, and you should just 42 give me a short description. Then I will ask about the afternoon and then the evening. At what time did you wake up yesterday? ŸŸ:ŸŸ TIME Q7013 INTERVIEWER: If respondent can’t remember, get his or her best guess. At what time did you go to sleep yesterday? ŸŸ:ŸŸ TIME Q7014 INTERVIEWER: If respondent can’t remember, get his or her best guess. INTERVIEWER: Please note for Q7015 and Q7016, Q7050 and Q7051, Q7100 and Q7101 : · Circle all activities that the person spontaneously mentions. · You do not need to record the order and you do not need to record an item that is repeated. · This does not have to be comprehensive. It is just meant to be an approximation. · Please also circle all people that they say they were with. · If the person takes more than 3 minutes to tell you about their morning/afternoon/evening experiences, you should ask them to give you less detail. MORNING Q7015 Please tell me the main things that you did yesterday morning from the time you woke up until around noon/mid-day. Please also mention if you were talking or interacting with anyone for any parts of the morning. By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting. Be sure to cover as much as you can remember. You don’t have to go in order, but it’s probably easier that way. Be sure to stop with activities 43 from around noon/mid-day. 1 2 3 4 5 6 7 8 9 WORKING PREPARING FOOD DOING HOUSEWORK SUBSISTENCE FARMING WATCHING CHILDREN SHOPPING WALKING SOMEWHERE TRAVELING BY BICYCLE TRAVELING BY CAR/BUS/TRAIN 10 REST (INCLUDES TEA/COFFEE BREAK) 11 CHATTING WITH SOMEONE 12 PLAYING (INCLUDES CARDS/GAMES) 13 READING 14 LISTENING TO RADIO 15 WATCHING TV 16 EXERCISING OR LEISURELY WALK 17 OTHER LEISURELY ACTIVITY 18 GROOMING OR BATHING 19 EATING 20 RELIGIOUS ACTIVITY 21 PROVIDING CARE TO SOMEONE 22 INTIMATE RELATIONS/SE X 23 WENT TO SLEEP FOR THE NIGHT Q701 6 1 2 3 ALONE SPOUSE ADULT CHILDREN (AGED 18 YEARS AND OLDER) 4 YOUNG CHILDREN OR GRANDCHILDREN 5 FAMILY (OTHER THAN SPOUSE, CHILDREN OR GRANDCHILDREN) 6 FRIENDS 7 CO-WORKERS 87 OTHER, SPECIFY: Q701 7 Did you do anything else before noon/mid-day CIRCLE RESPONSES IN Q7015 ABOVE. 44 yesterday? Q701 8 Q7026 Were you talking or interacting with anyone else before noon/mid-day yesterday? CIRCLE RESPONSES IN Q7016 ABOVE Now I want you to think about the XXX (from Q7015) you mentioned during the morning. ŸŸ:ŸŸ HOURS : MINUTES How long did this activity last? ŸŸ:ŸŸ TIME Q7027 At what time did this activity begin? INTERVIEWER: If respondent has trouble with exact time, get estimate or approximate. Q7028 Were you talking or interacting with anyone when you did this? By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting. 1 2 3 4 5 6 7 87 ALONE ……..……è Q7029 SPOUSE ADULT CHILDREN YOUNG CHILDREN OR GRANDCHILDREN FAMILY (OTHER THAN SPOUSE/CHILDREN) FRIENDS CO-WORKERS OTHER, SPECIFY: INTERVIEWER: Respondent may provide more than one answer - circle responses. Q7028a. At the time, how friendly were 45 1 2 Very friendly A little friendly you feeling towards this person (these people)? 3 4 A little irritated Very irritated Please think about how you felt yesterday morning during your XXX (Q7015). Rate your feelings from 0 to 6 where 0 means you did not feel like that at all and 6 means you felt very much like that. Not at all Very much Q7029 How worried were you feeling? 0 1 2 3 4 5 6 Q7030 How rushed were you feeling? 0 1 2 3 4 5 6 Q7031 How irritated or angry were you feeling? 0 1 2 3 4 5 6 Q7032 How depressed were you feeling? 0 1 2 3 4 5 6 Q7033 How tense or stressed were you feeling? 0 1 2 3 4 5 6 Q7034 How calm or relaxed were you feeling? 0 1 2 3 4 5 6 Q7035 How much were you enjoying what you were doing? 0 2 3 4 5 6 1 AFTERNOON Q7050 Please tell me the main things that you did yesterday afternoon from around noon/mid-day until evening time (around 18.00 or 6pm). Please also mention if anyone was with you for any parts of the afternoon. Be sure to cover as much as you can remember. You don’t have to go 46 in order, but it’s probably easier that way. Be sure to describe only the activities from your afternoon yesterday between mid-day and evening. 1 2 3 4 5 6 7 8 9 WORKING PREPARING FOOD DOING HOUSEWORK SUBSISTENCE FARMING WATCHING CHILDREN SHOPPING WALKING SOMEWHERE TRAVELING BY BICYCLE TRAVELING BY CAR/BUS/TRAIN 10 REST (INCLUDES TEA/COFFEE BREAK) 11 CHATTING WITH SOMEONE 12 PLAYING (INCLUDES CARDS/GAMES) 13 READING 14 LISTENING TO RADIO 15 WATCHING TV 16 EXERCISING OR LEISURELY WALK 17 OTHER LEISURELY ACTIVITY 18 GROOMING OR BATHING 19 EATING 20 RELIGIOUS ACTIVITY 21 PROVIDING CARE TO SOMEONE 22 INTIMATE RELATIONS/SE X 23 WENT TO SLEEP FOR THE NIGHT Q705 1 1 2 3 ALONE SPOUSE ADULT CHILDREN (AGED 18 YEARS AND OLDER) 4 YOUNG CHILDREN OR GRANDCHILDREN 5 FAMILY (OTHER THAN SPOUSE, CHILDREN OR GRANDCHILDREN) 6 FRIENDS 7 CO-WORKERS 87 OTHER, SPECIFY: 47 Q705 2 Did you do anything else yesterday afternoon between noon/ mid-day and about 6pm (18.00)? CIRCLE RESPONSES IN Q7050 ABOVE. Q705 3 Were you talking or interacting with anyone else between noon/midday and 6pm (evening) yesterday? CIRCLE RESPONSES IN Q7051 ABOVE Q7066 Now I want you to think about the YYY (from Q7050) you mentioned during the morning. ŸŸ:ŸŸ HOURS : MINUTES How long did this activity last? ŸŸ:ŸŸ TIME Q7067 At what time did this activity begin? INTERVIEWER: If respondent has trouble with exact time, get estimate or approximate. Q7068 Were you talking or interacting with anyone when you did this? By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not count as interacting. INTERVIEWER: Respondent may 48 1 2 3 4 5 6 7 87 ALONE ……..……è Q7069 SPOUSE ADULT CHILDREN YOUNG CHILDREN OR GRANDCHILDREN FAMILY (OTHER THAN SPOUSE/CHILDREN) FRIENDS CO-WORKERS OTHER, SPECIFY: provide more than one answer circle responses. 1 2 3 4 Q7068a. At the time, how friendly were you feeling towards this person (these people)? Very friendly A little friendly A little irritated Very irritated Please think about how you felt yesterday afternoon during your YYY (Q7050. Rate your feelings from 0 to 6 where 0 means you did not feel like that at all and 6 means you felt very much like that. Not at all Very much Q7069 How worried were you feeling? 0 1 2 3 4 5 6 Q7070 How rushed were you feeling? 0 1 2 3 4 5 6 Q7071 How irritated or angry were you feeling? 0 1 2 3 4 5 6 Q7072 How depressed were you feeling? 0 1 2 3 4 5 6 Q7073 How tense or stressed were you feeling? 0 1 2 3 4 5 6 Q7074 How calm or relaxed were you feeling? 0 1 2 3 4 5 6 Q7075 How much were you enjoying what you were doing? 0 1 2 3 4 5 6 EVENING Q7100 Please tell me the main things that you did yesterday evening from around 6pm (18.00) until you went to sleep. Please also mention if anyone was with you for any parts of the evening. 49 Be sure to cover as much as you can remember. You don’t have to go in order, but it’s probably easier that way. 1 2 3 4 5 6 7 8 9 WORKING PREPARING FOOD DOING HOUSEWORK SUBSISTENCE FARMING WATCHING CHILDREN SHOPPING WALKING SOMEWHERE TRAVELING BY BICYCLE TRAVELING BY CAR/BUS/TRAIN 10 REST (INCLUDES TEA/COFFEE BREAK) 11 CHATTING WITH SOMEONE 12 PLAYING (INCLUDES CARDS/GAMES) 13 READING 14 LISTENING TO RADIO 15 WATCHING TV 16 EXERCISING OR LEISURELY WALK 17 OTHER LEISURELY ACTIVITY Q7101 1 2 3 ALONE SPOUSE ADULT CHILDREN (AGED 18 YEARS AND OLDER) 4 YOUNG CHILDREN OR GRANDCHILDREN 5 FAMILY (OTHER THAN SPOUSE, CHILDREN OR GRANDCHILDREN) 6 FRIENDS 7 CO-WORKERS 50 18 GROOMING OR BATHING 19 EATING 20 RELIGIOUS ACTIVITY 21 PROVIDING CARE TO SOMEONE 22 INTIMATE RELATIONS/SE X 23 WENT TO SLEEP FOR THE NIGHT 87 OTHER, SPECIFY: Q710 2 Did you do anything else yesterday evening between around 6pm and going to bed? CIRCLE RESPONSES IN Q7100 ABOVE. Q710 3 Were you talking or interacting with anyone else between around 6pm and going to bed yesterday? CIRCLE RESPONSES IN Q7101 ABOVE Q711 1 Now I want you to think about the ZZZ (from Q7100) you mentioned from yesterday evening. ŸŸ:ŸŸ HOURS : MINUTES How long did this activity last? ŸŸ:ŸŸ TIME Q711 2 At what time did this activity begin? INTERVIEWER: If respondent has trouble with exact time, get estimate or approximate. Q711 3 Were you talking or interacting with anyone when you did this? By interacting with, I mean were you consistently paying attention to someone. For example, if you were bathing a young child you would be interacting with them even if you were not talking. On the other hand, talking to someone for less than 5 minutes does not 51 1 2 3 4 ALONE ……..……è Q7114 SPOUSE ADULT CHILDREN YOUNG CHILDREN OR GRANDCHILDREN 5 FAMILY (OTHER THAN SPOUSE/CHILDREN) 6 FRIENDS count as interacting. 7 CO-WORKERS 87 OTHER, SPECIFY: INTERVIEWER: Respondent may provide more than one answer - circle responses. Q7113a. At the time, how friendly were you feeling towards this person (these people)? 1 2 3 4 Very friendly A little friendly A little irritated Very irritated Please think about how you felt yesterday evening during your ZZZ (Q7100). Rate how you were feeling from 0 to 6 where 0 means you did not feel like that at all and 6 means you felt very much like that. Not at all Ver y muc h Q711 4 How worried were you feeling? 0 1 2 3 4 5 6 Q711 5 How rushed were you feeling? 0 1 2 3 4 5 6 Q711 6 How irritated or angry were you feeling? 0 1 2 3 4 5 6 Q711 6 How depressed were you feeling? 0 1 2 3 4 5 6 Q711 7 How tense or stressed were you feeling? 0 1 2 3 4 5 6 Q711 8 How calm or relaxed were you feeling? 0 1 2 3 4 5 6 Q711 9 How much were you enjoying what you were doing? 0 1 2 3 4 5 6 52 Survey 2: Short qualitative phone call survey (6 calls over 2 week period) Instrument Call 1 Question What were you thinking about just before the phone rang for this call? Was this thought more positive or negative? Can you name one thing that went well for you today? What was the cause of it? Can you name one thing that did not go well for you today? What was the cause of it? What is your biggest source of joy in life at the moment? Why is this your biggest source of joy in life in general? What is your biggest source of worry in life at the moment? Why is this your biggest source of worry in life in general? What do you spend the most time thinking about? Which category would you say this falls into? Would you say you think more about good things than bad things? Who do you most often think about? What were you doing just before the phone rang? 1 WORKING 10 REST (INCLUDES 18 GROOMING OR 2 SUBSISTENCE TEA/COFFEE BREAK) BATHING(SELF) 19 FARMING 11 CHATTING WITH EATING 3 PREPARING FOOD SOMEONE 20 RELIGIOUS ACTIVITY 4 DOING HOUSEWORK 12 PLAYING (INCLUDES 21 PROVIDING CARE TO 5 WATCHING CHILDREN CARDS/GAMES) SOMEONE 22 INTIMATE 6 SHOPPING 13 READING RELATIONS / SEX 7 WALKING 14 LISTENING TO RADIO 23 WENT TO SLEEP FOR SOMEWHERE 15 WATCHING TV THE NIGHT 8 TRAVELING BY 16 EXERCISING OR BICYCLE LEISURELY WALK 9 TRAVELING BY 17 OTHER LEISURELY CAR/BUS/TRAIN ACTIVITY Were you talking or interacting with anyone when you did this? If so, 53 who? 1 ALONE .............. Q7019 2 SPOUSE 3 ADULT CHILDREN 4 YOUNG CHILDREN OR GRANDCHILDREN 5 FAMILY (OTHER THAN SPOUSE/CHILDREN) 6 FRIENDS 7 CO-WORKERS 87 OTHER,SPECIFY How worried were you feeling? (1=Not at all, 2=A little, 3=Very much) How rushed were you feeling? (1=Not at all, 2=A little, 3=Very much) How irritated or angry were you feeling? (1=Not at all, 2=A little, 3=Very much) How depressed were you feeling? (1=Not at all, 2=A little, 3=Very much) How tense or stressed were you feeling? (1=Not at all, 2=A little, 3=Very much) How calm or relaxed were you feeling? (1=Not at all, 2=A little, 3=Very much) How much were you enjoying what you were doing? (1=Not at all, 2=A little, 3=Very much) Now I will ask you some questions about how you felt overall yesterday. Looking at the whole day (morning, afternoon, AND evening), please tell me whether you had these feelings for much of the day. Please just answer “yes” or “no”. Did you feel worried for much of the day yesterday? Yes or No. Did you feel rushed for much of the day yesterday? Yes or No. Did you feel irritated or angry for much of the day yesterday? Yes or No. Did you feel depressed for much of the day yesterday? Yes or No. Did you feel tense or stressed for much of the day yesterday? Yes or No. Did you feel calm or relaxed for much of the day yesterday? Yes or No. Were you enjoying what you were doing for most of the day yesterday? Yes or No. Did you feel lonely for much of the day yesterday? Yes or No. Did you feel bored? Yes or No. Did you feel physical pain for much of the day yesterday? Yes or No. Did you feel sleepiness? Yes or No. Did you have a stomach ache at any time? Yes or No. Did you have a headache at any time? Yes or No. 54 Did you smile or laugh a lot yesterday? Yes or No. Calls 2-6 What were you thinking about just before the phone rang for this call? Was this thought more positive or negative? Can you name one thing that went well for you today? What was the cause of it? Can you name one thing that did not go well for you today? / Bende inyalo wache What was the cause of it? What is your biggest source of joy in life at the moment? What is your biggest source of worry in life at the moment? What were you doing just before the phone rang? 1 WORKING 2 SUBSISTENCE FARMING 3 PREPARING FOOD 4 DOING HOUSEWORK 5 WATCHING CHILDREN 6 SHOPPING 7 WALKING SOMEWHERE 8 TRAVELING BY BICYCLE 9 TRAVELING BY CAR/BUS/TRAIN 10 REST (INCLUDES 18 GROOMING OR TEA/COFFEE BREAK) BATHING(SELF) 19 11 CHATTING WITH EATING SOMEONE 20 RELIGIOUS ACTIVITY 12 PLAYING (INCLUDES 21 PROVIDING CARE TO CARDS/GAMES) SOMEONE 22 INTIMATE 13 READING RELATIONS / SEX 14 LISTENING TO RADIO 23 WENT TO SLEEP FOR 15 WATCHING TV THE NIGHT 16 EXERCISING OR LEISURELY WALK 17 OTHER LEISUREL Y ACTIVITY 55 Were you talking or interacting with anyone when you did this? If so, who? 1 ALONE ..............︎ Q7019 2 SPOUSE 3 ADULT CHILDREN 4 YOUNG CHILDREN OR GRANDCHILDREN 5 FAMILY (OTHER THAN SPOUSE/CHILDREN) 6 FRIENDS 7 CO-WORKERS 87 OTHER,SPECIFY How worried were you feeling? (1=Not at all, 2=A little, 3=Very much) How rushed were you feeling? (1=Not at all, 2=A little, 3=Very much) How irritated or angry were you feeling? (1=Not at all, 2=A little, 3=Very much) How depressed were you feeling? (1=Not at all, 2=A little, 3=Very much) How tense or stressed were you feeling? (1=Not at all, 2=A little, 3=Very much) How calm or relaxed were you feeling? (1=Not at all, 2=A little, 3=Very much) How much were you enjoying what you were doing? (1=Not at all, 2=A little, 3=Very much) Now I will ask you some questions about how you felt overall yesterday. Looking at the whole day (morning, afternoon, AND evening), please tell me whether you had these feelings for much of the day. Please just answer “yes” or “no”. Did you feel worried for much of the day yesterday? Yes or No. Did you feel rushed for much of the day yesterday? Yes or No. Did you feel irritated or angry for much of the day yesterday? Yes or No. Did you feel depressed for much of the day yesterday? Yes or No. Did you feel tense or stressed for much of the day yesterday? Yes or No. Did you feel calm or relaxed for much of the day yesterday? Yes or No. Were you enjoying what you were doing for most of the day yesterday? Yes or No. Did you feel lonely for much of the day yesterday? Yes or No. Did you feel bored? Yes or No. Did you feel physical pain for much of the day yesterday? Yes or No. Did you feel sleepiness? Yes or No. Did you have a stomach ache at any time? Yes or No. 56 Did you have a headache at any time? Yes or No. Did you smile or laugh a lot yesterday? Yes or No. 57 Survey 3: Real-time diaries, phone or in-person qualitative interview (bi/weekly) Instrument Interview 1 1. Can you tell me about a decision you’ve made in the past 2 weeks? a. How did you make this decision? What were your steps? b. What options did you consider? What options did you sacrifice? c. What factors did you take into consideration when making the decision? What were your priorities? d. Have certain important recent events affected your decision? If so, what occurred and how did they affect your decision? e. Did you find making this decision difficult or easy? If either, why? What did you enjoy and what did you not like about making this decision? f. How did you feel about this decision and its outcomes? g. Did this decision affect your long term goals in any way? 2. What decisions are you currently thinking about that you have not yet made? a. What steps are you taking towards making this decision? b. What options are you considering? c. What factors are you taking into consideration? What are your priorities? d. What, if anything, is preventing you from making your final decision? e. How do you feel about making this decision? f. Do you find making this decision difficult or easy? If either, why? What do you enjoy and what do you not like about making this decision? g. Do you plan to make this decision in the coming week? 3. What are your long-term goals? (look for specificity, difficulty, timeline) a. For each goal: i. By what time point do you think you can achieve this goal? ii. How do you work towards it daily or weekly? iii. Who, if anyone, helps you? iv. How certain are you that you can achieve it? v. What helps you achieve your goal? 58 vi. What prevents you from achieving your goal? Interviews 2-8 1. Can you tell me about a decision you’ve made in the past 2 weeks? a. How did you make this decision? What were your steps? b. What options did you consider? What options did you sacrifice? c. What factors did you take into consideration when making the decision? What were your priorities? d. Have certain important recent events affected your decision? If so, what occurred and how did they affect your decision? e. Did you find making this decision difficult or easy? If either, why? What did you enjoy and what did you not like about making this decision? f. How did you feel about this decision and its outcomes? g. Did this decision affect your long term goals in any way? 2. What decisions are you currently thinking about that you have not yet made? a. What steps are you taking towards making this decision? b. What options are you considering? c. What factors are you taking into consideration? What are your priorities? d. What, if anything, is preventing you from making your final decision? e. How do you feel about making this decision? f. Do you find making this decision difficult or easy? If either, why? What do you enjoy and what do you not like about making this decision? g. Do you plan to make this decision in the coming week? 3. What decision did you make this week that you wish you hadn’t made? a. Why did you make this decision? 4. Did you hope to make a particular decision this week but did not? a. If yes, why did you not make it? 59 JOHANNES HAUSHOFER 427 Peretsman Scully Hall Princeton University Princeton, NJ 08540 E-Mail: [email protected] Phone: 617 360 1605 Website: www.princeton.edu/joha Education 2012 UNIVERSITY OF ZURICH Ph.D., Economics (summa cum laude). Advisor: Ernst Fehr 2008 HARVARD UNIVERSITY Ph.D., Neurobiology. Advisors: Nancy Kanwisher, Margaret Livingstone 2003 UNIVERSITY OF OXFORD B.A. (First Class Honours), Physiology, Psychology, Philosophy Academic Positions 2014– PRINCETON UNIVERSITY Assistant Professor of Psychology and Public Affairs 2011–14 HARVARD UNIVERSITY Prize Fellow in Economics 2011–14 MASSACHUSETTS INSTITUTE OF TECHNOLOGY Postdoctoral Fellow, Abdul Latif Jameel Poverty Action Lab Affiliations 2014– Associated Faculty Member, Department of Economics, Princeton University 2014– Faculty Affiliate, Center for Health and Wellbeing, Princeton University 2014– Faculty Affiliate, ideas42 2012– Scientific Director, Busara Center for Behavioral Economics 2009– Research Network Member, Innovations for Poverty Action Awards 2011–14 Prize Fellowship in Economics, Harvard University 2008 Mind-Brain-Behavior Award, Harvard University 2003–08 Presidential Scholarship, Harvard University 1 2006–08 PhD Scholarship, German National Merit Foundation 2005–08 PhD Scholarship, Boehringer Ingelheim Fonds 2003 Gibbs Prize (best thesis), University of Oxford 2002 Markby Scholarship for First Class in second year exams, Balliol College, University of Oxford 2002 Scatcherd European Scholarship, University of Oxford 1999–2006 Undergraduate Scholarship, German National Merit Foundation Publications and Working Papers 1. The Price of Poverty: Psychology and the Cycle of Need. Foreign Affairs (2014), 138739. 2. Neurobiological Poverty Traps (with Molly Crockett & Gwen Lawson). Background paper prepared for the World Development Report 2015. 3. A Methodology for Laboratory Experiments in Developing Countries: Examples from the Busara Center (with Marie Collins, Giovanna de Giusti, Conor Hughes, Chaning Jang, Maneesh Kuruvila, Joseph Muiruri Njoroge, and James Vancel). October 2012. 4. Psychology and Neurobiology of Poverty (with Molly Crockett and Gwen Lawson). Background paper prepared for the World Development Report 2015. 5. Development of impulse control and associated vmPFC-DLPFC connectivity explains children’s increased resistance to temptation in intertemporal choice (with Niko Steinbeis, Ernst Fehr, and Tania Singer). Cerebral Cortex (in press). 6. The Behavioural Economics of Poverty (with Jennifer Sheehy-Skeffington). In Barriers to and Opportunities for Poverty Reduction: Prospects for Private Sector Led-Interventions. Istanbul: UNDP Istanbul International Center for Private Sector in Development (2014). 7. On the Psychology of Poverty (with Ernst Fehr). Science 344 (2014), 862–867. 8. Household Response to Income Changes: Evidence from an Unconditional Cash Transfer Program in Kenya (with Jeremy Shapiro). November 2013. 9. Negative Income Shocks Increase Discount Rates (with Ernst Fehr and Daniel Schunk). July 2013. 10. Negative Rainfall Shocks Increase Levels of the Stress Hormone Cortisol Among Poor Farmers in Kenya (with Matthieu Chemin and Joost de Laat). July 2013. 11. Time-Dependent Effect of Hydrocortisone Administration on Intertemporal Choice (with Sandra Cornelisse, Vanessa van Ast, Maayke Seinstra, and Marian Joels). July 2013. 12. The Psychology of Poverty: Evidence from 43 Countries. September 2013. 13. Market Convergence and Equilibrium in a Kenyan Informal Settlement (with Noémie Zurlinden). September 2013. 14. The Social Cost of Randomization (with Jeremy Shapiro). September 2013. 15. No Effects of Psychosocial Stress on Intertemporal Choice (with Sandra Cornelisse, Maayke Seinstra, Ernst Fehr, Marian Joëls, and Tobias Kalenscher). PLoS One 8 (2013), e78597. 2 16. Low Income is Associated with High Baseline Levels and Low Stress Reactivity of Cortisol, but Not Alpha Amylase (with Sandra Cornelisse, Marian Joels, Tobias Kalenscher, and Ernst Fehr). December 2011. 17. The role of testosterone in social interaction (with Ernst Fehr and Christoph Eisenegger). Trends in Cognitive Science 15 (2011), 263–271. 18. Reply to Golan and Rosenblatt: Revisiting the statistical analysis of the Israeli-Palestinian conflict confirms that both sides retaliate. Proceedings of the National Academy of Sciences 108 (2011): E55–E56. 19. Both Sides Retaliate in the Israeli-Palestinian Conflict (with Nancy Kanwisher and Anat Biletzki). Proceedings of the National Academy of Sciences 107 (2010), 17927–17932. 20. The Legal Brain: How Does the Brain Make Judgments about Crimes? (with Ernst Fehr). Scientific American Online (2009). 21. You shouldn’t have: your brain on others’ crimes (with Ernst Fehr). Neuron 60 (2008), 738–740. 22. Multivariate Patterns in Object-Selective Cortex Dissociate Neural and Perceptual Similarity (with Margaret Livingstone and Nancy Kanwisher). PLoS Biology 6 (2008), e187. 23. Sensitivity to Object Parts in Human Object-Selective Cortex (with Chris Baker, Margaret Livingstone, and Nancy Kanwisher). Journal of Neurophysiology 100 (2008), 753–762. 24. For Love or Money: A Common Neural Currency for Social and Monetary Reward (with Rebecca Saxe). Neuron 58 (2008), 164–165. 25. Interpreting fMRI data: Maps, modules, and dimensions (with Hans op de Beeck and Nancy Kanwisher). Nature Reviews Neuroscience 9 (2007), 123–135. 26. In the Eye of the Beholder: Visual Experience and Categories in the Human Brain (with Nancy Kanwisher). Neuron 53 (2007), 773–775. 27. Express saccades: What is coded for their production? (with Peter Schiller). Experimental Brain Research 22 (2005), 1–9. 28. How do target predictability and precueing affect the production of express saccades in monkeys? (with Peter Schiller and Geoffrey Kendall). European Journal of Neuroscience 19 (2004), 1963–1968. 29. An examination of the variables that affect express saccade generation (with Peter Schiller and Geoffrey Kendall). Visual Neuroscience 21 (2004), 119–127. 2006 Ongoing Work and Papers in Prepration 1. Health Insurance, Cash Transfers, and Stress Hormones: A Randomized Controlled Trial in the Slums of Nairobi (with Matthieu Chemin) [endline completed] 2. Non-financial Awards and Community Monitoring for Clinic Performance: A Randomized Controlled Trial in Sierra Leone (with Oeindrila Dube and Bilal Siddiqi) [endline completed] 3. "Count your Blessings": Can Positive Psychology Improve Well-Being in Kenya? Evidence from a Randomized Controlled Trial (with Chaning Jang and Linda Kleppin) [baseline ongoing] 4. Heat Stress and Performance: Evidence from Weather and Test Scores in Kenya (with Simone Schaner) Research Funding 3 1. Improving Health Service Delivery through Community Monitoring & Non-Financial Awards, Sierra Leone, 2012–2014, USAID AID-OAA-F-12-00045, $432,155. Role: PI. 2. Reducing Domestic Violence: Economic Conditions, Psychological Well-being, and Social Norms. Anonymous donor, $280,000. Role: PI. 3. Poverty, Stress, and Discounting: A Potential Micro-Mechanism for Behavior Change, NIH R01AG039297, 2010–2015, $1,250,000. Role: PI. 4. The Neurobiology and Behavioral Economics of Poverty, Cogito Foundation, 2010–2013, CHF 164,000. Role: Co-PI. 5. Neural Mechanisms of Temporal Discounting, Bial Foundation, 2006–2008, $60,000. Role: Co-PI. (2006) Conference Presentations Scheduled Household Response to Income Changes: Evidence from an Unconditional Cash Transfer Program in Kenya (with Jeremy Shapiro). American Economic Association Annual Meeting, Boston Household Response to Income Changes: Evidence from an Unconditional Cash Transfer Program in Kenya (with Jeremy Shapiro). CSAE conference, Oxford, UK 2014 The Cost of Keeping Track. New England Universities Development Conference, Boston University Market Convergence and Equilibrium in a Kenyan Informal Settlement. Symposium on Economic Experiments in Developing Countries, Norwegian School of Economics, Bergen, Norway 2013 Household Response to Income Changes: Evidence from an Unconditional Cash Transfer Program in Kenya (with Jeremy Shapiro). New England Universities Development Conference, Harvard University 2012 The Busara Center: A Laboratory Environment for Developing Countries (with Marie Collins, Giovanna de Giusti, Chaning Jang, Maneesh Kuruvila, Joseph Muiruri Njoroge, and James Vancel). Symposium on Economic Experiments in Developing Countries, University of California Berkeley. 2012 Poverty Raises Levels of the Stress Hormone Cortisol: Evidence from Weather Shocks in Kenya (with Matthieu Chemin and Joost de Laat). New England Universities Development Conference, Dartmouth College 2007 Frequency-based categorization of complex visual objects (with Chris I. Baker and Nancy Kanwisher). Journal of Vision 7, 210a. Vision Sciences Society Conference. 2005 Greater Sensitivity to Convexities than Concavities in Human Lateral Occipital Complex (with Chris I. Baker and Nancy Kanwisher). Society for Neuroscience Annual Meeting. 2005 Greater Sensitivity to Convexities than Concavities in Human Lateral Occipital Complex (with Chris I. Baker and Nancy Kanwisher). Journal of Vision 5, 904a. Vision Science Society Conference. 2002 Express saccades: the conditions under which they are generated and the brain structures involved (with Peter Schiller, Geoørey Kendall, Warren Slocum, and Andreas Tolias). Journal of Vision 2, 174a. Vision Science Society Conference. 4 Invited Seminars (past three years) Scheduled UC Berkeley (Economics); Princeton University (Economics); University of Oxford (Economics); National Advisory Council on Aging (NIH, Bethesda, MD) 2014 Harvard University (Economics); Dartmouth College (Economics); University of California, Berkeley (Agricultural and Resource Economics); University of Bonn (Economics); Stockholm University (IIES); Warwick University (Economics); Harvard University (Kennedy School of Government); Georgetown University (Economics); University of Michigan (Economics); McGill University (Economics); UCSD (Economics); Harvard University (School of Public Health); University of California, Berkeley (Social Welfare); University of Pennsylvania (Psychology); Princeton University (Health & Wellbeing Seminar); Northwestern University (Buffett Center for International and Comparative Studies); University of Southern California (Economics); University College London (Psychology); Massachusetts Institute of Technology (Brain & Cognitive Sciences); Princeton University (Psychology & Woodrow Wilson School of Public and International Affairs); International Economic Association World Congress, Amman, Jordan (invited panel); National Institutes of Health (Science of Behavior Change); University of Chicago (Human Capital and Economic Opportunity Global Working Group); Microfinance Club of New York (invited panel); First African Behavioral Economics Symposium, Naiorbi (keynote lecture) 2013 Massachusetts Institute of Technology (Economics); University of Chicago (Booth School of Business); Cornell University (Psychology); Yale University (Public Health); Massachusetts Institute of Technology (Brain & Cognitive Sciences); World Bank (Research Group), Norwegian School of Economics (Economics) 2012 NYU Abu Dhabi; National Institutes of Health (Science of Behavior Change); University of Dusseldorf (Psychology); Innovations for Poverty Action; Harvard University (Neuroeconomics Working Group); Harvard University (Decision Science Lab) Workshops 2010 Russell Sage Summer Institute in Behavioral Economics (Trento, Italy) 2013 White House Meeting: Psychological Science and Behavioral Economics in the Service of Public Policy (Washington, DC) Teaching 2015 NYU Abu Dhabi (Winter Experimental Social Sciences Institute) Strathmore Business School (Nairobi, Kenya): Econometrics of Program Evaluation (graduate level) Princeton University, Woodrow Wilson School of Public & International Affairs: Psychology of Poverty (seminar) 2014 Princeton University, Department of Psychology: Psychology of Poverty (seminar) 2013 Jameel Poverty Action Lab, MIT: Executive Training (White House, Washington, DC) 2012 Jameel Poverty Action Lab, MIT: Executive Training (Kampala, Uganda) 2010 University of Zurich: Graduate Seminar, Behavioral & Experimental Economics 5 2010 University of Zurich: TA for Prof. Ernst Fehr & Charles Efferson, PhD, Behavioral Economics 2006 Harvard University: Senior Workshop Leader (Mind/Brain/Behavior Initiative) 2004 Sanayee Foundation, Kabul: Course (20 hours), Monitoring and Evaluation of Development Projects 2003 German Student Academy (DSA): Course (50 hours), Visual Neuroscience Refereeing Economics: American Economic Review, Quarterly Journal of Economics, Journal of Development Economics, American Economic Journal: Applied, Journal of Economic Behavior and Organization Psychology: Science, Nature, Nature Neuroscience, Neuron, Journal of Neuroscience, Neuroimage, Current Biology, Proc Roy Soc B, PNAS, Consciousness & Cognition, Experimental Brain Research, Neuroscience Letters Advising Undergraduate students: Miriam Klein (Saarbrucken/Oxford), Emily Zhao (RSI/MIT), Minjeong Ahn (MIT), Lauren Fishkin (MIT), Monica Hu (MIT), Nuné Lemaire (MIT), Lauren McClain (RSI/MIT), Joyce Chen (MIT), Julia Nickel (TU Karlsruhe/MIT), Roni Madar (Zurich), Christoph Vonwiller (Zurich), Maayke Seinstra (Amsterdam), Maneesh Kuruvila (St. Andrews), Noémie Zurlinden (Bern), Colton Jang (Yale), Yaniv Sapir (Princeton), Fred Shaykis (Princeton) Graduate students: Alain Kamm (Zurich), Florian Bosshart (Zurich), Deborah Kistler (Zurich), Linda Kleppin (Dusseldorf), Michala Riis-Vestergaard (Copenhagen/Princeton) Postdocs: Chaning Jang (Princeton) Media The Economist, The New York Times, Forbes, Businessweek, AllAfrica.com, The Chronicle of Philanthropy, NPR Morning Edition, NPR Planet Money, International Herald Tribune, Huffington Post, El Pais (Spain), Suddeutsche (Germany), Handeslzeitung (Switzerland), arte TV (Germany/France), Freakonomics Blog, Marginal Revolution Blog 6 ! email:&[email protected]&|&telephone:&646.327.1885& 7518&Fletcher&Bay&Rd.& Bainbridge&Is,&WA&98110& Jeremy&P.&Shapiro& & & Experience& & Associate&Research&Scholar& Princeton&University& July!2014!!*!July,!2015! Princeton,!NJ& President& Busara&Center&for&Behavioral&Economics& June!2014!!*!present! Princeton,!NJ!|!Nairobi,!Kenya& & • Principal&Investigator&on&research&in&development&economics,&behavioral&economics&and&psychology& • Design&and&manage&research&protocols&and&impact&evaluations& • Draft&and&disseminate&academic&and&policy&reports&& • President&and&Director&of¢er&supporting&behavioral&economics&research&in&the&developing&world& • Design,&manage&and&analyze&novel&research&in&behavioral&economics& • Develop& strategy& for& center& serving& multiple& academic& institutions,& multilateral& organizations& and& notVforVprofit&organizations&with&behavioral&research&services&and&consulting& • Worked&with&client&teams&in&financial&services,&tech,&media&and&the&social§or;&managed&teams&of& Engagement&Manager& McKinsey&&&Company& January!2012!–!May!2014!!! New!York,!NY!|!San!Francisco,!CA!& CoVFounder&and&Director& GiveDirectly& June!2009!–!September!2012& New!York,!NY!|!Kenya! & Postdoctoral&Associate& Yale&University& September!2009!–!January!2011!& New!Haven,!CT!! & Instructor& Massachusetts&Institute&of&Technology& Fall!2008& Cambridge,!MA! Consultant& The&World&Bank& December!2008!–!June!2009!! Cambridge,!MA!|!Ahmedabad,!India& Research&Analyst& RCF&Economic&Consulting& 2004!–!2005!! Chicago,!IL& Summer&Intern& Morgan&Stanley& Summer!2004!& New!York,!NY! & Education& • Developed&videoVbased&financial&literacy&education&materials&targeted&at&lowVincome&households& • Managed&relationship&with&aµfinance&institution&in&Ahmedabad,&India&to&pilot&financial&literacy& education& • &Designed& impact& evaluation& to& assess& effects& of& financial& literacy& among& low& income& microfinance& clients&and&managed&research&team&& • Constructed& real& estate& market& forecasting& model& for& the& Chicago& area,& calibrated& using& historical& & data&to&predict&short&run&population&and&housing&construction&trends& • Contributed&to&design&and&development&of&a&novel&warrant&linked&to&employee&stock&options&which& was&later&launched&in&financial&markets,&including&stochastic&modeling&of&option&exercise&and&auction& mechanism&design& • Priced&convertible&bonds&and&developed&client&presentations& & Massachusetts&Institute&of&Technology! Cambridge,!MA! University&of&Chicago& Chicago,!IL! 2V4& Associates;& contributed& to& engagement& planning& and& conducted& novel& analysis& to& inform& recommendations&to&clients& • Led&market&research&effort&to&inform&design&of&a&novel&insurance&product& • Conducted& lean& operations& diagnostic& and& developed& recommendations& for& improving& service& operations&in&top&5&financial&services&company& • Contributed& analysis& and& recommendations& to& multiple& strategy& development& efforts,& risk& management&diagnostics,&organizational&design&efforts&and&M&A&assessments&& • CoVfounder& of& NGO& providing& direct,& unconditional& cash& transfers& to& impoverished& households& in& developing&countries& • Developed&organizational&strategy&for&fundraising,&publicity&and&operations& • Established&GiveDirectly’s&field&operations&in&2011,&including&legal&incorporation,&financial&reporting,& developing&operational&protocols,&recruiting&and&managing&operations&team&in&Kenya& • Designed,&managed&and&authored&impact&evaluation&to&assess&effects&of&unconditional&cash&transfers& • Conducted&independent&and&joint&research&on&topics&in&development&economics,&including&financial& education,&environmental&economics&andµfinance& • &Managed& largeVscale& randomized& evaluations& of& development& interventions& in& India,& Peru,& South& Africa&and&the&Philippines,&including&survey&design,&data&management,&research&team&management& and&data&analysis& • Taught&undergraduateµeconomics&course&(Introductory&Microeconomics,&MIT&course&14.01)&& • Developed& and& delivered& lectures,& wrote& class& exercises& and& exams& and& facilitated& student& evaluations& & PhD,&Economics,&September&2009& Primary!Fields:!Development!Economics,!Econometrics!! Secondary!Fields:!Financial!Economics,!Economic!History! BA,&Economics,&June&2004& & & & Selected&Other& Language& Computer&& Honors& and& Awards&& & English&(native)&|&Spanish&(proficient)! Stata&(highly&proficient)&|&Python&(conversant)& Foreign&Policy&Leading&100&Global&Thinker&(2013)& National&Science&Foundation&Graduate&Research&Fellowship&(2005V2008)& Presidential&Scholar&(MIT&2005)&& Phi&Beta&Kappa&(University&of&Chicago&2004)& & ! & & & & Jeremy&P.&Shapiro& email:&[email protected]&|&telephone:&646.327.1885& 7518&Fletcher&Bay&Rd&& Bainbridge&Island,&WA&98110& & & & & & Published&Research& “A&multifaceted&program&causes&lasting&progress&for&the&very&poor:&Evidence&from&six&countries.”&Science!(2015)!with!Abhijit!Banerjee,!Esther! Duflo,!Nathanael!Goldberg,!Dean!Karlan,!Robert!Osei,!William!Parienté,!Bram!Thuysbaert,!Christopher!Udry& “(Ineffective)&Messages&to&Encourage&Recycling:&Evidence&from&a&Randomized&Evaluation&in&Peru.”&The!World!Bank!Economic!Review!(2013)! with!Alberto!Chong,!Dean!Karlan!and!Jonathan!Zinman& “Liability&Structure&in&SmallVScale&Finance:&Evidence&from&a&Natural&Experiment”!The!World!Bank!Economic!Review&(2012)&with!Bilal!Zia,!Fenella! Carpena!and!Shawn!Cole&& “Development&Connections:&Unveiling&the&Impact&of&New&Information&Technologies”&Inter*American!Development!Bank!(May,&2011)& contributing!author!with!Beniamino!Savonitto& & & & & & & & & & & & & & Working&Papers& “Welfare&Effects&of&Unconditional&Cash&Transfers:&Evidence&from&a&Randomized&Control&Trial&in&Kenya”&with!Johannes!Haushofer&(2013)& Featured&in:&Businessweek,&The&Chronicle&of&Philanthropy,&the&Economist,&Forbes,&The&New&York&Times&Economix&blog,&The&New&York&Times& editorial&blog,&NPR&Morning&Edition,&NPR&Planet&Money& “The&Social&Cost&of&Randomization:&Evidence&from&Field&and&Lab”&with!Johannes!Haushofer&(2013)& “Unpacking&the&Causal&Chain&of&Financial&Literacy”&with%Bilal%Zia,%Fenella%Carpena%and%Shawn%Cole&(2011)& “Targeting&the&HardVCore&Poor:&An&Impact&Assessment”&with!Abhijit!Banerjee,!Esther!Duflo!and!Raghabendra!Chattopadhyay&(2010)& "Discounting&for&You,&Me&and&We:&Time&Preference&in&Groups&and&Pairs"&(2010)& “Identifying&Constraints&to&Mango&Production&for&SmallVScale&Farmers&in&the&Philippines:&A&feasibility&study”&with!Dean!Karlan!and!Jonathan! Zinman!(2010)& "The&Fruits&of&Usury:&Interest&Rate&Regulation&and&Agricultural&Sector&Development&in&United&States&History"&(2009)& “Weather&Insurance&and&Investment&Choice”&(2009)& “Targeting&Efficiency:&How&well&can&we&identify&the&poor?”&with!Abhijit!Banerjee,!Esther!Duflo!and!Raghabendra!Chattopadhyay&(2008)& “Evaluating&the&Effect&of&Financial&Literacy&Workshops&for&Migrant&Mineworkers&in&South&Africa”&with!Shawn!Cole!and!Kartini!Shastry&& & & & NonVacademic&writing&& “Does&Money&Buy&Happiness?&A&new&answer&to&an&old&question”&(January,&2015)& Society&for&Personality&and&Social&Psychology&Character&and&Context&blog& http://www.spspblog.org/does*money*buy*happiness*a*new*answer*to*an*old*question/& “More&than&money:&How&cash&transfers&can&transform&international&development”&(November,&2014)& World&Bank&Let’s&Talk&Development&blog& http://blogs.worldbank.org/developmenttalk/more*money*how*cash*transfers*can*transform*international*development& “Cash&Transfers,&Prejudice&and&Mental&Health”&(May,&2014)& next&billion& http://nextbillion.net/blogpost.aspx?blogid=3884&& “Broadening&the&Aperture&of&Measurement”&(March,&2014)& Stanford&Social&Innovation&Review& http://www.ssireview.org/blog/entry/broadening_the_aperture_of_measurement& & & Presentations&and&Seminars& World&Bank:&Trade&Up&and&Compete&Conference& Istanbul,!Turkey:!!May,!2015,!Invited!Speaker& ! Woodrow&Wilson&School,&Princeton&University& Princeton,!NJ:!!February,!2015,!Invited!Speaker!& Strathmore&Business&School:&Masters&in&Public&Policy&Program& Nairobi,!Kenya:!!January,!2015,!Guest!Instructor& World&Bank:&DIME&Seminar& Washington!D.C.:!!September,!2014,!Invited!Speaker! Department&for&International&Development&(DfID)& London,!UK:!July,!2014,!Invited!Speaker& Twitter& San!Francisco,!CA:!May,!2014,!Invited!Speaker& Gates&Foundation&MLE&Learning&Seminar& Seattle,!Washington:!April,!2014,!Invited!Speaker& “Microcredit&for&the&Poor:&Do&we&need&a&Reassessment?”&& World!Bank!Washington!DC:!May,!2011,!Invited!Speaker& Harvard/MIT&Development&Economics&Seminar& Cambridge,!MA:!!April,!2011,!Invited!Speaker! BRACVIGCVIIG&Entrepreneurship&and&Development&Conference& Dhaka,!Bangladesh:!!March,!2011,!Invited!Speaker! “Microfinance:&Translating&Research&into&Practice”&College&of&Agricultural&Banking&and&Center&for&Microfinance&at&IFMR&Seminar& Pune,!India:!!January,!2011,!Invited!Speaker& Microfinance&Impact&and&Innovation&Conference&& New!York:!October,!2010,!Invited!Speaker! Northeast&Universities&Development&Consortium&(NEUDC)&Conference&& Boston:!November,!2010!! “Conference&on&Weather&Insurance:&Risk&Mitigation&in&Agriculture”&Center&for&Microfinance&at&IFMR& Ahmedabad,!India:!August,!2009,!Invited!Speaker! Northeast&Universities&Development&Consortium&(NEUDC)&Conference&& Boston:!November,!2009!! Center&for&Microfinance&at&IFMR&Seminar& Chennai,!India:!!January,!2008,!Invited!Speaker! & & & & & & & Professional&activities& Journal& Referee& American&Economic&Journal:&Applied&Economics,&Journal&of&Development&Economics,!The&B.E.&Journal&of&Economic&Analysis&&& Policy,&American&Journal&of&Agricultural&Economics,!Journal&of&the&European&Economic&Association,&Economic&Development&and& Cultural&Change&
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