Price Sensitivity of Non-EU Students to British Higher Education Arnaud Chevalier IZA (Bonn) Xiaoxuan Jia Anglia Ruskin University Abstract We build a panel of all incoming undergraduate students by country of origin at UK universities to study their price sensitivity to British higher education. After controlling for institutional quality and endogeneity of fees, we find that overall, overseas (non-EU) students do not appear to react negatively to changes in tuition fees, but better ranked institutions, and institutions that are popular among home/UK students attract more students from outside the Europe. JEL codes: F22, I23 Key words: higher education, tuition fees, price sensitivity Acknowledgement: we would like to thank the Higher Education Statistics Agency (UK), and John O’Leary (Times Good University Guide) for providing us with the student population data and university rankings used in this analysis. We thank Anna Vignoles and Colin Green for comments. An earlier version of this manuscript was part of Jia’s PhD thesis. Corresponding author: Xiaoxuan Jia, [email protected] I. Introduction Previous literature on schooling and human capital accumulation have shown that overall students are insensitive to university tuition fees (Heckman et al, 1998; Cameron and Heckman, 1999; Canton and De Jong, 2005). It is the long term family factors rather than short term credit constraint that affects students’ decision to invest in higher education. The focus here is on international students, a group that may be more sensitive to price changes as they are by definition more mobile. We rely on a panel of new entrants by country of domiciles at British institutions, to assess their price sensitivity to university tuition fees over the period of 2002 to 2012. Tuition fees for home and EU students are regulated by the government but institutions are free to set their own fees for students from outside Europe. We use the variation in fees between and within institution to identify its effects on students’ registration. Due to tight regulations of the local students market, UK institutions have expanded their international outlook. Despite, an average fee of £12,000 for overseas students, one of the highest in Europe1, the UK is the second largest destination countries for international students and caters for 560,000 international students, or 13% of the total international student population (OECD, 2013). Moreover, export of UK higher education is estimated to be worth £10 billion in 2011/12 (HEFCE, 2014)2. Despite its importance to the economy, little is known about the demand for higher education from international students, and even less about their choice of institutions within a country. Unlike previous studies on the determinants of international student migration, we contribute to the existing literature by analysing the effect of institution specific tuition fees to assess how price (tuition fees) sensitive overseas students are once they have decided to come and study in the UK. This should be particularly relevant since unlike UK’s competitor countries such as Australia, the UK government has tightened immigrations rules concerning international students over the past decade. If international students are insensitive to tuition fees, such immigration policies may pose a threat to institutional income and the UK economy in the long run. Theoretically, individual study abroad when foreign education is associated with a greater flow of income either abroad or back home, than local education, after accounting 1 Nominal figure, http://www.studyineurope.eu/tuition-fees OECD report defines international students based on their country of citizenship, whereas HEFCE report, like the current analysis, define international students as those coming from outside the EU. 2 for the costs differential in obtaining education (see Dustmann and Glitz, 2011, for a review). In turn, studying abroad may affect an individual’s labour market outcomes either through capturing the wage premium provided by host country’s labour market (Rosenzweig, 2006) or obtaining higher returns back home, after gaining relevant skills and work experience abroad. In this model, the decision to study abroad is determined by the costs of education in both countries, the differences in the returns on skills in both countries, and the costs of (return) migration—including non-financial costs such as family circumstances. International students consider the relative costs, quality, and access to higher education when making their decisions. While questionnaire evidence suggests that the comparatively high cost of education in the US is a major obstacle to migration, behavior seems to show otherwise. In a study of the determinants of student migration from 203 countries to 13 host countries, tuition fees had no significant effect on international enrollment (Beine et al, 2012). This result is surprising considering that the empirical evidence suggests that a $1,000 increase in annual tuition fees reduces the participation of US-born students by 6–8 percentage points (Leslie and Brinkman, 1987)3. Tuition fees may have no significant effect on the demand for higher education by international students because tuition fees represent a relatively smaller share of the total costs than they do for native students, especially when grants and other forms of aid are available. In contrast, international students do care about the perceived quality of higher education (such as the number of institutions in the top tiers of international rankings, Van Bouwel and Veugelers, 2010). We use undergraduate enrolment data for UK universities to assess the price sensitivity of both the overall and the overseas student population, after controlling for institutional quality. We first build a panel of first-year undergraduate students by institution, and country of domiciles (6 domiciles overall, namely England, Wales, Scotland, Northern Ireland, European (EEA) countries, and non-EU countries). We then assess the price sensitivity of nonEU students at the country specific level. Since a key concern of such analysis on tuition fees is that the fee variable may not be strictly exogenous, we test the robustness of our findings by using a two stage least squares estimator and instrument the fee variable with its one period lags. Overall, we find that overseas students do not appear to react negatively to 3 Estimates for European students tend to be smaller. changes in tuition fees, but better ranked institutions tend to attract more students from outside the Europe. The rest of the paper is organised as follows. Section II reviews previous literature. Section III describes the institutional background of our analysis. Section IV provides details of the data. Section V introduces the model. Section VI describes the results, and section VII concludes. II. Literature review Rosenzweig (2006) proposes two factors that drives the international migration of students, a lack of educational resources/facilities and a low return to skills in the home country. He finds that the US wage premium (over other countries) encourages foreign students to migrate. Clemens (2013) finds that location alone can explain a significant part of return to skills. De Vreyer et al. (2010) find that experience abroad results in a substantial wage premium for migrants returning from an OECD country, but not from other countries. Based on data of 18 European countries, Van Bouwel and Veugelers (2009) find that the quality of higher education is positively linked to the number of students migrating from one country to the other. Similar findings can also be found in Gordon and Jallade (1996). Quality of education can also influence students’ decision to migrate within a country. Baryla and Dotterweich (2011) analyse student migration in the US and find that colleges that provide a recognised quality degree programme attracts more non local students. Using panel data on the flow of international students to North America and a number of developed European countries, Kahanec and Kralikova (2011) find that indeed, the quality of higher education in the receiving country is an important factor in determining the inflow of foreign students, but no significant correlation is found between tuition fees and size of overseas student population. They contribute the latter finding to reverse causality in the sense that popular universities can afford to charge a higher price. Similarly, Beine et. al. (2012) use data of 13 OECD countries to analyse factors that influence international students’ choice of destination countries, and find significant network effect in the migration of students, other factors include housing prices and reported quality of university, but not registration fees. Their initial findings even suggested a positive relationship between tuition fees and the size of the flow of international students. They propose two explanations for this apparent positive results. First, tuition fees may act as a signal of quality. Secondly, popular destinations, and universities with high reputation can charge higher fees without losing their applicant pool. In the UK, Soo and Ellliott (2010) used overseas subject-level application data to UK universities from the period of 2002 to 2007, and find that fees may impact overseas students’ application decisions, and this effect is non-linear. For previous analysis on the impact of fees on domestic enrolment, Kane (1995) used US data for the period of 1977 to 1993 to evaluate price sensitivity of students to tuition fees at US public higher education institutions. He find that states with higher level of tuition fees experience lower enrolment rates, with the effect vary between 3.5 percentage point for public 2-year institutions, to 1.4 percentage points for 4-year institutions, for each $1,000 increase in fees. Using US data on American public universities (4-year institutions) from the period of 1991 to 2007, Hemelt and Marcotte (2008) find that a $1000 increase in fees is associated with a reduction in college enrolment by about 2.5 percent. For the effect of tuition fees on higher education participation in the UK over the same period, Dearden et al. (2011) constructed pseudo-panels by aggregating individual level data (over UK-domiciled students) and find that, higher tuition fees are negatively linked to university participation rate, with the effect measured at 3.9 percentage points decrease in university participation for every £1,000 increase in tuition fees. Seven German states briefly introduced university tuition fees in 2012, and Dwenger et al. (2012) find that the probability of students applying to university fall by 2 percentage points if they live in a state with tuition fees. Similar findings using German data can also be found in Hubner (2012). III. Institutional set-up The higher education system for home and EU students was entirely state funded until 1998. A series of reforms introduced by the government in late 80s and the early 90s boosted higher education participation rate in the UK, from 15% in 1989 to 42% in 2005 (Wyness, 2010). This brought considerable strains to public financing for higher education, and the funding per full time students dropped from £9,000 in 1989 to £4,850 (Dearden et al., 2011). A student loans system was implemented in 1990 to relieve pressure on public funding for student maintenance and later on tuition costs. In addition, a means-tested up-front tuition fees of £1,000 was introduced for those entering universities from 1998 onwards. Tuition fees vary across the four constituent countries of the UK. Scottish universities initially adopted the £1,000 means-tested fees, but it was abolished by the Scottish Government in 2001, and replaced with the graduate endowment scheme 4, which is a fixed amount of £2,000 (cash term) payable in April following graduation. This was abolished in 2007 5 , and subsequent cohorts of Scottish students studying at Scottish institutions paid virtually zero fees6. The 2004 Higher Education Act abolished up-front tuition fees and introduced a deferred fee of £3,0007 to be implemented in 2006 for students domiciled in England and Northern Ireland. The fee increase was delayed among Welsh universities to 2007 and a grant was introduced for Welsh students and European students (studying in Wales) to cover the amount of fee increase (Wyness, 2010). Responding to recommendations made by the Browne Review of higher education funding in 2010, the government announced that the maximum tuition fees English universities can charge will be raised to £9,000 for home and European students from 2012 onwards. For the 2012 tuition fee reform, the Welsh government increased the grant to Welsh students to £5,425, whilst the rest of the £9,000 can be covered by tuition fee loans. This applies not only to Welsh students studying in Wales, but Welsh students who wish to study elsewhere in the UK. Tuition fees in Northern Ireland changed very much in line with tuition fees in England, except in 2012 it decided to freeze the tuition fees for students who are domiciled and enrolled at higher education institutions within Northern Ireland8. Students from continental Europe who are studying at each of the four constituent countries of the United Kingdom are able to enjoy the same benefits as locally domiciled students, but in general UK students who are domiciled in one of the constituent countries 4 http://www.scottish.parliament.uk/S1_Bills/Education%20(Graduate%20Endowment%20and%20Student%20 Support)%20(Scotland)%20Bill/b22s1pm.pdf 5 For all that graduate after April 2007. 6 The tuition fees for Scottish students studying at Scottish universities currently stands at £1,820, which is paid for by the Scottish government. http://www.saas.gov.uk/full_time/ug/young/funding_available.htm. 7 “Deferred” in the sense that students can borrow at effectively zero interest rates to pay for their tuition fees, and repay their loans after they have graduated and earn above a set threshold. 8 http://www.bbc.co.uk/news/uk-northern-ireland-14843377 and wish to study in another do not enjoy the same financial support towards fees as a locally domiciled students. Higher Education funding councils provide teaching grants to institutions based on the number of home and EU students there are in each institution. Hence, prior to 2012, institutions were limited to the number of home and EU students they can recruit. The recruitment of overseas students are not restricted as their tuition costs are not funded by the public. Hence, British universities increased their effort over time to attract students from outside the Europe. The number of overseas students studying at UK universities increased from 100,000 in 1994/95 to nearly 300,000 on 2009/10, and institutional income generated by overseas students went up from £455 million to £2,580 million (Universities UK, 2011). In contrast, UK immigration regulations concerning overseas students have been toughened rather than relaxed over time. Application costs for entry clearance and leave to remain have more than doubled during the period of analysis (UKCISA, 2014)9. A Post-Study Work scheme which allowed overseas students who graduate from UK universities to stay in the country for up to 2 years to gain work experience, was abolished in April 201210, and replaced with a Graduate Entrepreneur visa. However, overseas students who wish to apply for the Graduate Entrepreneur visa need to be endorsed by their university, and universities are limited to how many graduates they can endorse per year11. As such, once they have completed their study in the UK, most non-EU students will have no choice but to return to their country of origin. IV. Data The data originates from three sources, over the 11-year period of 2002 to 2012. Firstly, we have the aggregate first-year undergraduate student population data by institution, fee status (eligible vs not eligible to pay home fees) and domiciles (208 countries of domiciles), from the UK Higher Education Statistical Agency (HESA). This dataset covers all UK higher education institutions. We also have the tuition fees data by year, institutions and students’ 9 Throughout this period, the UK government has also gradually increased language requirement for a student visa, as well as the amount of (maintenance) funds the applicant need to have in their bank accounts 10 https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/261421/tier1poststudywor kguidance1.pdf 11 https://www.york.ac.uk/students/support/international/after/working/ domiciles12. Finally, to control for institutional quality, we have the Times Good University Rankings. The Times is a popular newspaper in the UK and publishes the longest running national university rankings in the country since 1992. There are three levels of undergraduate tuition fees in the UK in general, namely home and EU student fees, overseas fees for classroom based courses and overseas fees for laboratory based courses. The fee information is sometimes recorded as a range rather than a single figure, under one of the three aforementioned broad categories. We transform them by taking the mean to make them comparable across institutions. In a few cases the fee information is missing for some institutions in certain years 13 , and we replace them by interpolating linearly. We use the classroom based course fees for overseas students14, and all fees are deflated to 2013 prices. We model students’ enrolment decisions by using the HESA first-year undergraduate student population data, which are recorded in December of each academic year15. Since the level of tuition fees for home/UK and European students vary across the four constituent countries of the UK, we assign and verify tuition fees according to the region of the institution, students’ country of domiciles and their fees eligibility. Note that European students are treated as locally domiciled students in each of the four constituent countries in the UK. As described in institutional set-up, tuition fees in the UK vary by 6 domiciles overall, namely England, Wales, Scotland, Northern Ireland, EEA countries, and non-EU countries. Hence, we carry out our first set of regressions after summing the number of students in each institution per year and collapse the data by the 6 domiciles. During the period of 2002 to 2012, some universities have changed their names or merged with other institutions to form new universities. As such, we cleaned up the names of institutions so that they are consistent across years, as well as across the fees, rankings and 12 UK/EU and overseas, the latter includes two fee bands, namely classroom based and laboratory based courses. 13 17 observations with missing fee information, two of which are missing undergraduate home/EU fees. Reason for missing not explicitly given. 14 For consistency reasons, since not all university offer lab-based courses to students. 15 We define academic year as the September of each year to August in the following year. We cannot rule out the possibility that some students may have dropped out between September (when the academic year starts) and December (when the HESA data is recorded). student population datasets. We treat institutions as separate before the merger and as a new institution afterwards. Overall, merging the student population data with the tuition fees and university rankings data gives us 119 institutions over the 11-year period. However, we note that since the 2012 tuition fees information is collected from the Complete University Guide16, there are only 91 institutions in that year17. With the aforementioned merging of universities to form new institutions, the created panel is as such unbalanced. Figure 1 and 2 show the trends in undergraduate enrolment and tuition fees by country of domiciles. English students take up the biggest proportion of first year student population, with an average of 2508 students per institution per year (Table 1, Descriptive Statistics). This is followed by Non-EU students, and students domiciled in Scotland. Students domiciled in Northern Ireland form the smallest group with an average of 112 students per institution per year. Non-EU students pay the highest tuition fees overall, with an average of £10,600 per year. English students pay the highest tuition fees among home and EU students, with an average of £3,200 per year. Note that average tuition fees for Scottish students won't be zero as they will be treated as fee-paying students if they study outside Scotland. The mean level of tuition fees for overseas students stayed fairly stable during the period of analysis, with the variation increased somewhat in more recent years (Figure 3). V. Model We begin by estimating whether the number of first-year undergraduate students enrolled at institution i in year t, yit, is a function of the level of tuition fees xit, while controlling for institutional quality Qit. The number of students is log transformed to give a better fit of the model. The main equation depicting the relationship is log (yit) = β1i + f1(Tt) + δ1* xit +λ1Qit + εit 16 (1) The person who collected the tuition fees information for previous years, Mike Reddin, passed away in 2011, and the Complete University Guide took over the responsibility from 2012 onwards. 17 See Appendix A1. Although the fee information for a number of universities is missing in 2012 due to that they have merged with other institutions prior, for other institutions, there is no clear reasons (based on their characteristics) as to why their fee information is not available in that year. where βi is the institution specific fixed effect (to control for time-invariant, unobserved institution specific factors), f(Tt) is a function of time, which includes year dummies, linear trend, or institution specific trends, Qit is the institution quality measured by the Times university ranking score, and εit is the random error term. The main coefficient of interest to be estimated, δ1, represents the percentage change in the number first-year students for a one thousand pound change in tuition fees. The standard errors are robust and clustered at the institutional level to control for within-institution correlations and heteroskedasticity. Next we drop the observations of UK and EU students, and we assess overseas students’ price sensitivity to UK higher education as a function of tuition fees, quality of the institution, and a set of country specific economic variables, g(Ect) for non-European country c in year t, to control for the return and other financial costs of their education. The set of economic variables include inflation rate (measured by the GDP deflator), GDP growth and year-on-year exchange rate fluctuation (domestic currency to British pounds). Zit is the number of overseas students at institution i in year t. Zit = β2i + f2(Tt) + δ2* xit +g(Ect) + λ2Qit + uit (2) It is important to note that we implicitly assume overseas students have decided to study in the UK, and we only assess their price sensitivity to tuition fees conditional on studying in the UK. We replaced any missing observations with 0 to create a continuous time series for each institution-country group. One of the concerns is that the fee variable may not be strictly exogenous, since popular UK universities that attracts higher number of overseas students can also afford to charge them higher fees. Hence, we test the robustness of our results by using a two stage least squares estimator and instrument the fee variable with its one period lag. Table 1 shows the descriptive statistics for key variables, and we can see that among all UK and European students, the English domiciled students pay the highest average tuition fees among home and EU students during the period of 2002 to 2012, while the average tuition fees for overseas students is around £11,000 (2013 prices). Figure 1 shows the number of first-year undergraduate students by country of domiciles from 2002/03 to 2012/13. The number of first-year English domiciled students, European students and non-EU students have been gradually increasing until 2012/13, whilst the number of Northern Irish students, Scottish students, and Welsh students remained relatively unchanged during this period. Figure 2 shows the average UK tuition fees each year for students domiciled in different regions. Tuition fees for non-EU students have been steadily increasing during the 11-year period, from £10,000 to £12,000. English domiciled students have seen the highest increase in tuition fees, whist Welsh and Scottish students have experienced lower fees, since they have benefited from tuition fee grants and zero tuition fees if they choose to study locally. Average fees for European student and Northern Irish students changed very much in line with English students. VI. Results We test the price sensitivity of the whole first year undergraduate student population under the basic specification (equation (1)) in table 2. Overall results suggest increase in fees lowers enrolment, but estimates under year dummies or the linear trend can be biased as they do not take into account of the unobserved factors at the institution level. We find that an increase of £1,000 in tuition fees lowers first-year undergraduate enrolment by 3.6% in our favoured specification (column 3). We also test the heterogeneity in students’ sensitivity to tuition fees by their country of domiciles. For doing so, we interact the fees variable with domiciles dummies, and the results are presented in column 4. For English students (the baseline group), every £1,000 increase in fees is associated with a 4% drop in enrolment. The size of the estimate is consistent with the ones found in Dearden et al (2011) and Hemelt and Marcotte (2008). The impact of fees more than doubles with Scottish and Welsh students. Consistent with findings in Beine et al (2012), non-EU students appear to be rather insensitive to changes in fees compared with the baseline group, whilst for students from European countries, a £1,000 increase in fees is associated with roughly 2% increase in enrolment. In terms of the effect of institutional quality on students’ enrolment decisions, we find that an increase of 100 points in Times university-level ranking score increases the size of overall first-year student population by about 2% in our favoured specification. The sign of the coefficient is consistent with previous findings (Soo and Elliot, 2010) on the effect of university rankings, which suggest better ranked institutions attracts more students, but the results are not statistically significant under OLS fixed effects estimation. Instrumenting the overseas fees with lagged fees under the two stage least squares estimation (column 5) shows that a £1,000 increase in fees lowers the number of students by about 0.05%. This estimate is very small in size and it is not statistically significant. However, a 100-point increase in the Times ranking score increases the number of first-year students by about 3%, and this effect is statistically significant at 10%. We then assess the effect of tuition fees using the more detailed, country specific overseas student population data, where we control for country specific fixed effects, institutional quality, and country specific economic conditions (equation (2), Table 3). Overall, we do not find statistical significant evidence that overseas students react negatively to changes in tuition fees, but better ranked institutions attract more students, and higher GDP growth and smaller exchange rate fluctuations in the home country increases the size of the overseas student population at an UK institution. VII. Conclusion Estimating the price sensitivity of non-EU students to UK (overseas) tuition fees over the period of 2002/03 to 20012/13, we find that overall, overseas students do not appear to react negatively to changes in tuition fees, but better ranked institutions, and preferable economic condition in the home country help to bring in more students from outside the Europe. Assessing the price sensitivity of non-EU students to UK (overseas) tuition fees has important policy implications. Considering that average within-institution variation in the number of overseas students is around 103, and the average tuition fees per student per year is around £12,000 in 2012/13, this means effectively a change of £1.2 million in institutions’ income. However, contrary to the more open immigration policies in other popular destination countries, where efforts have been made to allow international students to stay and gain work experience after their study, the UK government on the other hand withdrew such Post Study Work schemes, includes international students in the annual immigration target, and gradually increased the entry cost for non-EU students to come and study in the country. HEFCE (2014) reports that the drop in the number of non-EU students to English institutions in 2012/13 is the first drop in 29 years. 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Figure 1: Number of first-year undergraduate students by country of domiciles (in thousands) No. of students domiciled in the rest of UK, EU and non-EU No. of students domiciled in England 350 40 300 35 30 250 25 200 20 150 15 100 10 50 5 0 0 200203 200304 200405 200506 200607 200708 200809 200910 201011 201112 201213 England European coun Non-EU N.Ireland Scotland Wales Note: source: HESA first-year undergraduate student population data (2002/03 – 2012/13) Figure 2: UK average tuition fees for students of different country of domiciles. Home and EU tuition fees Non-EU tuition fees 14 10 9 12 8 10 7 6 8 5 6 4 3 4 2 2 1 0 0 200203 200304 200405 200506 200607 200708 200809 200910 201011 201112 201213 Non EU England European Countries N.Ireland Scotland Note: Source: Reddin (& Complete University Guide) tuition fees data (2002/03 – 2012/13) Wales 5 10 15 20 25 Figure 3: Variation in UK university overseas tuition fees, 2002 – 2012 200203 200304 200405 200506 200607 200708 200809 200910 201011 201112 201213 Note: source: Reddin and the Complete University Guide tuition fees data (2002/03 – 2012/13) Table 1 Descriptive Statistics Variable number of first year students (by institution, academic year, and country of domicile) By students' domiciles: Mean 570.47 England 2508.29 Wales 141.58 Scotland 220.66 Northern Ireland 111.91 European countries 148.77 Non-EU countries 274.62 tuition fees (2013 prices, in thousands, £) 4.21 By students' domiciles: England Wales Scotland Northern Ireland European countries Non EU countries Std. Dev. 162.26 Observations 6720 367.64 52.62 52.68 39.75 64.51 103.24 1128 1110 1111 1118 1128 1125 1.54 6712 3.16 1.84 1124 2.72 0.95 1110 2.86 1.76 1111 3.15 1.83 1114 2.80 1.70 1128 10.55 0.84 1125 ranking score 588.37 79.24 6720 Note: we report the within institutions standard deviations. Although Scottish students pay zero fees in Scotland, they are subject to higher fees if they wish to study in other parts of the UK. Fees for 2012 cohort of English and Northern Irish students studying at Robert Gordon, Dundee, Glasgow, and St Andrews (all Scottish institutions) are not available. Table 2 Fee sensitivity of ALL students, controlling for institution quality log (students) (1) Fixed effects VARIABLES fees times ranking score -0.0236*** (0.00754) 0.0166 (0.0232) -0.0387*** (0.00511) -0.00648 (0.0138) -0.0357*** (0.00803) 0.0199 (0.0157) -0.0410*** (0.00896) 0.0187 (0.0157) -0.0005 (0.0420) 0.0314* (0.0173) x x 0.0598*** (0.00950) 0.0431** (0.0211) 0.0204** (0.00868) -0.0581*** (0.0120) -0.0751*** (0.0159) x x x x 4.250*** (0.102) 4.215*** (0.109) European countries x fees Non EU countries x fees Northern Ireland x fees Scotland x fees Wales x fees institution specific trends year dummies linear trend Constant x (2) 2SLS x 4.284*** (0.154) -77.02*** (10.45) Observations 6,712 6,712 6,712 6,712 5,987 Number of groups 711 711 711 711 682 Adjusted R-squared 0.069 0.065 0.142 0.176 0.017 Note: "Number of groups" refer to observations by institution and domicile groups, namely England, Wales, Northern Ireland, Scotland, European countries and Non EU countries. English students is the baseline group in column 4. Robust standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1 Table 3 Fee sensitivity of non-EU students, controlling for country-specific economic variables VARIABLES fees times ranking score inflation (GDP deflator) GDP growth exchange rate fluctuation Non-EU students (1) Fixed effects 0.328* (0.170) 1.015*** (0.315) 0.0071* (0.00377) 0.0233*** (0.00631) -2.78e-06*** (3.75e-07) institution specific trends year dummies linear trend Constant 0.297* (0.161) 0.959*** (0.188) 0.0030 (0.00357) -0.0081 (0.00630) -3.05e-06*** (3.49e-07) x -0.109 (0.0948) 0.444** (0.188) 0.0077* (0.00404) 0.0229*** (0.00669) -2.88e-06*** (4.00e-07) x x (2) 2SLS -1.606 (1.521) 0.672** (0.272) 0.0076* (0.00426) 0.0208*** (0.00720) -3.06e-06*** (4.48e-07) x x x -6.380** (3.177) -1,045*** (169.9) 0.985 (1.524) Observations 53,067 53,067 53,067 45,961 Number of groups 9,768 9,768 9,768 6,586 Adjusted R-squared 0.021 0.018 0.045 -0.118 Note: "Number of groups" refers to observations by institution and (non EU) country of domiciles. All except non-EU students are deleted (hence, there are only 11 observations for each institution in the dataset, from 2002 – 2012). Robust standard errors in parentheses. *** p<0.01, ** p<0.05, * p<0.1 Appendix Table A1 missing institutions in 2012 Institutions Anglia Ruskin Brunel Chichester City De Monfort Notes Post 1992 new university University status Oct 2005 Post 1992 new university Edge Hill Glamorgan Gloucestershire Imperial College London Kingston Lampeter Lincoln Liverpool John Moores London South Bank Loughborough Middlesex Newport Paisley Teesside Trinity Saint David University status May 2006 Post 1992 new university-merged into University of South Wales April 2013 University status 2001 Post 1992 new university Merged with Trinity University College in 2010 to form University of Wales, Trinity Saint David Post 1992 new university Post 1992 new university Post 1992 new university Merged into University of South Wales April 2013 Merged with Bell College to form University of West of Scotland, August 2007 Post 1992 new university UMIST (University of Manchester Institute of Science and Technology) Merged with Victoria University of Manchester to form University of Manchester in 2004 Victoria Manchester Merged with UMIST to form University of Manchester in 2004 Warwick West of Scotland Westminster Wolverhampton York St John Post 1992 new university Post 1992 new university University status 2006
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