1 How Do Committee Assignments Facilitate Legislative Party Power? Evidence from a Randomized Lottery in the Arkansas State Legislature* David E. Broockman Graduate Student Department of Political Science University of California, Berkeley 210 Barrows Hall Berkeley, CA 94720 [email protected] Daniel M. Butler Assistant Professor Department of Political Science Yale University P.O. Box 208209 New Haven, CT 06520-8209 [email protected] Abstract We analyze a natural experiment in Arkansas’ state legislature to reexamine how the committee assignment process facilitates legislative party power. Our evidence stands in contrast to the widespread view that parties use their control over access to seats on desirable committees as significant carrots and sticks to enforce party discipline. First, we find that the rewards legislators reap from winning their preferred assignments appear meager. Moreover, party discipline prevails at typical levels in Arkansas despite that parties do not control assignments there. However, we argue that parties are responsible for stacking powerful committees with dependable partisans in order to control what these committees do. Supporting our contention that parties are nonetheless responsible for the overrepresentation of loyalists on such committees, we leverage Arkansas’ unique institutional environment to show that party loyalists do not disproportionately gravitate towards seats on such committees of their own accord. * The authors’ names appear in alphabetical order and both contributed equally to this paper. We thank seminar participants at Yale, the 2012 meeting of the Midwest Political Science Association, and the 2011 State Politics and Policy Conference as well as Jay Barth, Jim Battista, Keith Krehbiel, Lynda Powell, Eric Schickler, and Rob van Houweling for helpful comments. Replication materials for this study will be posted at Yale’s Institution for Social and Policy Studies data archive (http://isps.research.yale.edu). Funding and institutional support were provided by Yale’s Institution for Social and Policy Studies. David Broockman also acknowledges the National Science Foundation Graduate Research Fellowship Program for support. The authors thank Roger Potts, the Arkansas Legislative Digest, and many staffers at the Arkansas state legislature for their help with acquiring this data. Cameron Rotblat and Stacey Chen also provided excellent research assistance. 2 As partisan polarization has steadily risen, the puzzle of why legislators vote so frequently with their copartisans has met increasing attention. Scholars have offered a number of compelling explanations for this pattern, including majority party control over the legislative agenda (e.g., Anzia and Jackman 2012), primary competition (e.g., Burden 2004), member-tomember contributions (e.g., Cann 2008), and the role of informal party organizations (e.g., Masket 2007, 2009) among many. Arguably chief among these accounts has been the view that parties exploit their control over access to seats on desirable committees as a powerful tool to discipline their members (see next section for review). Scholars’ reasoning for implicating the committee assignment process in party loyalty is straightforward. Seats on powerful committees are widely thought to represent a “considerable asset” for legislators (e.g., Fenno 1973; Mayhew 1974, p. 150). However, party leaders generally control assignments to such committees, thus allowing them to use desirable assignments as carrots (and sticks). Consistent with this view that party leaders reward loyalty with plum assignments, party leaders have been found to consistently assign their most loyal members to the most powerful committees (e.g., Cox and McCubbins 1993; Kanthak 2009; see next section for review). We cast doubt on this leading account of legislative party loyalty and provide evidence for a different view of how parties exploit their control of the committee assignment process to attain their policy goals. Specifically, we argue that the presence of party loyalists on powerful committees better reflects party leaders’ desire to stack powerful committees with dependable partisans in order to control the policies that committees produce. In other words, we provide evidence that party leaders cannot use committee assignments as carrots and sticks to meaningfully control what individual legislators do, but rather simply place loyal legislators on powerful committees because they want those who share their preferences to control important 3 committees. Existing evidence has had difficulty differentiating between these competing accounts because they make the same predictions in legislatures where party leaders make committee assignments: loyal legislators will tend to fill powerful committees. To make matters more difficult still, there is yet a third explanation that could explain this pattern: loyalists may selfselect on to the best committees for other reasons entirely. We are able to provide new insights into how committees facilitate legislative party power by conducting tests that isolate distinct predictions of these otherwise observationally equivalent explanations. Our evidence comes from the Arkansas state legislature, where parties play no role in making standing committee assignments; instead, legislators choose their own assignments in the order of their seniority. Moreover, for legislators who have served the same length of time, this seniority order is randomly determined by a lottery. Some members are thus randomly assigned to have the opportunity to select significantly better assignments. We first use this randomized lottery to test whether legislators who win their preferred committee assignments gain appreciable benefits as a result. If certain committee seats are so valuable to legislators that party leaders can use their control over assignments to form the basis for party power, we would expect legislators to be considerably more likely to achieve their electoral, policy, and political goals as a result of gaining their preferred assignments. However, in stark contrast to previous, strictly observational work, the results from the lottery in Arkansas’ legislature indicates that legislators randomly assigned to have the opportunity to select more desirable assignments are not significantly more likely to attain any of these goals. These results suggest that the benefits individual legislators derive from winning their preferred committee assignments are at most still too meager to form a plausible basis for party power. We next examine whether party loyalty appears to prevail at significant levels in 4 Arkansas. If party control over the committee assignment process forms a significant basis for the enforcement of party discipline, we would expect party loyalty to be significantly less prevalent in Arkansas since parties do not control the committee assignment process there. However, we show that party voting prevails at quite typical levels in the Arkansas legislature (relative to both Congress and other state legislatures) even though parties do not control the assignment process there. This lends further support to our contention that party control of the committee assignment process cannot explain why legislators vote so consistently with their parties; legislative party power appears to persist at typical levels even when party leaders do not control assignments. Finally, however, we argue that the committee system nevertheless does play a significant role in facilitating parties’ influence over legislative outcomes, albeit a different one than scholars typically posit. Specifically, we argue that powerful committees are typically filled with loyalists because parties stack these important institutions with dependable partisans. Supporting this argument, we find that legislators on more powerful committees in Arkansas actually tend to be slightly less loyal to their parties, suggesting that the presence of loyalists on powerful committees cannot be attributed to mere self-selection. This finding thus grants novel evidence that party leaders are responsible for filling committees with loyalists in legislatures where they can. In light of our other evidence, however, it appears that parties do so largely because they hope to control these committees, not because doing so allows them to meaningfully influence how individual legislators vote. In summary, data from the Arkansas legislature’s randomized committee assignment process suggest that party control over the committee assignment process is not a meaningful basis for the enforcement of legislative party discipline: the results from the lottery indicate that the benefits legislators attain from winning their preferred assignments are meager at best, while 5 party discipline still persists in Arkansas even though party leaders do not control committee assignments there. However, loyal legislators also do not appear to gravitate towards seats on these committees of their own accord. Rather, the data suggest that party loyalists tend to fill powerful committees primarily because party leaders use these loyal legislators to control the committees on which they are placed, and not because they use committees to discipline legislators. Our findings thus support the view that scholars should look beyond the committee assignment process to understand legislative party discipline, though not neglect the role party loyalists embedded in powerful committees play in facilitating party power. 1. The Committee Assignment-Based Theory of Legislative Party Discipline The foundation of the committee assignment-based theory of legislative party discipline lies with scholars’ view that legislators gain appreciable advantages from serving on influential committees. Fenno (1973), for example, first identified legislators’ three main goals – achieving re-election, crafting good public policy, and securing prominence in their chamber – and argued that committee memberships helped legislators achieve all of them. Scholars since Fenno have consistently supported this view. Most prominently, scholars find that legislators who receive their preferred committee assignments are more likely to win reelection (e.g., Mayhew 1974; Smith and Deering 1983; Maltzman 1997; Heberlig 2003 among many).1 These assignments are theorized to help legislators win re-election for three main reasons. First, legislators tend to sit on committees that concern policy issues relevant to their districts and can thus strongly influence policy on issues that are particularly important to their constituents, allowing them to claim credit for policy changes on issues that are particularly salient to their constituents (Fenno 1973; Mayhew 1974; Weingast and Marshall 1988; Adler and 1 See also Bullock (1976), Shepsle (1978), Fowler, Douglass, and Clark (1980), Katz and Sala (1996), Crain and Sullivan (1997), Milyo (1997), Maltzman (1997), Leighton and Lopez (2002), and Grimmer and Powell (2012). 6 Lapinski 1997). Second, seats on certain committees may also help legislators steer more government money to their districts (Stewart and Groseclose 1999). Finally, interest groups give more money to legislators assigned to committees with greater influence, especially over areas relevant to them (Grier and Munger 1991, 1993; Romer and Snyder 1994; Dow, Endersby, and Menifield 1998). Scholars also argue that certain committee assignments help legislators gain prestige among colleagues as they vie for leadership positions (Manley 1970; Shepsle 1978; Fenno 1973). Membership on certain committees is thus widely argued to be instrumental in legislators’ attempts to achieve their central goals. As Shepsle (1978, p. 35) sums up this enduring conventional wisdom, “the seeking and obtaining of desirable committee assignments [is] a matter of the highest priority” for legislators. Existing Argument: Controlling Committee Assignments Help Parties Discipline Legislators Building on the view that certain committee assignments provide legislators with considerably greater benefits than others, scholars have subsequently argued that party leaders’ control over the committee assignment process represents a formidable tool for them to enforce party discipline among the rank-and-file. Committee assignments are one of the few excludable benefits party leaders appear to have at their disposal, and thus it is quite reasonable to implicate them in these leaders’ quest to discipline their members given their apparent attendant rewards (see, among many, Rohde and Shepsle 1973; Westefield 1974; Crook and Hibbing 1985; Coker and Crain 1994; Sinclair 1995, p. 93; Stratmann 2000, p. 666; Snyder and Groseclose 2000, p. 194; Roberts and Smith 2003; Kanthak 2004). Consistent with this theory, Cox and McCubbins (1993, p. 175) find that “loyalty to the party leadership is a statistically and substantively important determinant of who gets what [committee] assignment”, leading them to conclude that the committee assignment process makes legislators “more responsive to both the party’s 7 leadership and goals” (p. 182). As Smith (2000, p. 62) similarly writes, ably reviewing scholars’ enduring view, “tangible incentives [parties use to enforce loyalty] come in many other forms, although few are as important as committee assignments to most legislators.” Though there are of course many other complementary explanations for the rise of partisan polarization (e.g., Burden 2004; Cann 2008; Masket 2007, 2009), the view that partisan control of the committee assignment process is central to legislative parties’ ability to discipline their members has heretofore met little skepticism. Only one study of which we are aware – Bullock (1972) – has produced evidence that more desirable assignments do not help freshmen legislators attain their re-election goal.2 Likewise, Krehbiel (1993) stands apart from the literature by raising doubts that parties play a role in causally influencing legislators’ voting behavior, and we know of no studies that have cast doubt on the proposition that parties can use committee assignments as significant inducements. Endogeneity in the Party-Led Assignment Process Though scholars have consistently claimed that (1) desirable committee assignments hold crucial benefits for legislators and (2) can hence be used by party leaders to discipline their members, previous attempts to estimate the benefits members accrue from their committee assignments have faced several formidable empirical challenges. First, estimating whether attaining desirable committee assignments helps legislators attain their re-election, fundraising, and other goals has been challenging because we do not fully understand why legislators are assigned to the committees that they are. Without full knowledge of the criteria party leaders use to make assignments or why legislators request certain 2 On a related though distinct point, Kellerman and Shepsle (2009) find that Members of Congress with less seniority on a committee are less likely to serve as committee chair and have fewer sponsored bills passed in the jurisdiction of their committee as a result; however, they find no effect of this increased likelihood of service as a committee chair on legislators’ re-election prospects. 8 committees, we cannot adequately control for the factors that might influence their choices in order to distinguish the effects of service on certain committees from pre-existing differences in their members’ characteristics. If members’ expected success in winning re-election, fundraising, or gaining influence correlates with the reasons different legislators end up on different committees, comparing how members of different committees behave could thus mistake cause and effect (and indeed, a number of studies conclude that such factors do influence legislators’ own choices as well as party leaders’ ultimate assignments; see Masters 1961; Shepsle 1978; Hedlund and Patterson 1992; Hedlund et al. 2011). Likewise, even with it clear that party leaders tend to assign their most loyal members to the most powerful committees, it is difficult to distinguish between three competing explanations for this pattern: party leaders may do so in order to incentivize party loyalty (the prevailing explanation), in order to influence committee outcomes by filling the committees with their allies (e.g., Hedlund et al. 2011),3 or simply because loyalists tend to most request these assignments. Unfortunately, the widely-documented pattern that party loyalists tend to fill important committees is observationally equivalent with all three of these alternatives when party leaders control the assignment process. In the next section we discuss the natural experiment in the Arkansas state legislature – where a randomized lottery helps determine legislators’ committee assignments instead of party leaders – that helps us shed light on these questions. 2. Research Design: The Randomized Committee Lottery in Arkansas Each legislator in Arkansas’ two state legislative chambers has a seniority number, and legislators choose their own standing committee assignments in the order of this seniority number. This seniority number is first determined by how long a member has served in the 3 Cox and McCubbins (1993, p. 182) acknowledge this possibility as well. 9 chamber, with the lowest numbers (and thus the first choice of committee assignments) going to those who have served longest. Crucially, however, the seniority number of legislators who have served the same length of time is randomly determined: before their first term, legislators draw numbers written on slips of paper out of a hat to determine their seniority within their freshman class. This seniority number within their cohort stays with them for the remainder of their time in the legislature. The Independent Variable: Relative Rank There is one slight complication in the committee assignment lottery: though legislators’ seniority is randomized across their entire cohort, committee assignments in the House are allotted within four separate ‘caucus districts’ corresponding to the four congressional districts in Arkansas. Because only a certain pre-set number of legislators from each caucus district can sit on each committee, House members only compete with other legislators within their caucus district for committee seats. Table 1 illustrates how we operationalize the full randomization that occurs within these chamber-cohort-caucus district groupings for estimating the effects of the quality of legislators’ committee assignments. In the Table we present a fictional 25-member Arkansas House populated with legislators in their first or second term. Legislators in their first term have lower seniority numbers than the legislators in their second term. However, seniority within each cohort is randomly determined, thus what matters for the natural experiment is one’s seniority rank within one’s chamber-cohort-caucus district group. The fictional legislator assigned the seniority number 4 in Table 1 is therefore actually in a more advantageous position than the legislator assigned a 3, because legislator 4 picks first in his caucus district, whereas legislator 3 picks only after legislator 2 because they are both in caucus district B. [INSERT TABLE 1 HERE] 10 The resulting Relative Rank metric we use as our main dependent variable is shown for our fictional legislature in part (b) of Table 1. Legislators are arranged in groups by their cohort and caucus district and then sorted by their randomized seniority number within these groups because legislators pick their own assignments in direct succession within these groups. Thus, for example, within caucus district A, legislator 4 would pick first, followed by legislator 6 and 11. Once the senior members finish picking, legislators 14, 15, 18, and 23 would then pick the remainder of the assignments allocated to district A. Legislators 4, 6, and 11 serve as counterfactuals for each other, as do legislators 14, 15, 18, and 23. Note that a legislator who has no peers in her cohort and caucus district, such as legislator 13, cannot be assigned a relative rank metric because there are no counterfactual observations to which to compare her and are therefore dropped from the analysis. The relative rank metric gives the percentile ranking of each legislator’s lottery number relative to the legislators in their chamber-cohort-caucus district on a 0 to 1 scale. Legislators assigned to 1 are the most senior in their chamber-cohort-caucus district group (and thus are in the position to select the best committee assignment among those in their caucus district elected at the same time) and legislators with a 0 are the least senior. A value of 0.5 would mean that the legislator is at the 50th percentile and chooses in the middle of her cohort. Some Committees Are More Desirable We first verify that committees in Arkansas are meaningfully heterogeneous in their desirability to legislators by examining the mean relative rank of legislators on different legislative committees. Panel (a) of Figure 1 shows the average relative rank on the y-axis of the committee members in each committee in the Arkansas House (The data comes from the Arkansas Legislative Digest and describes all sessions held between 1977 and 2011). 11 [INSERT FIGURE 1 HERE] As is clear from Figure 1, legislators’ revealed preferences show that senior members (who have greater latitude over their committee assignments) systematically prefer seats on some committees over others. The Insurance and Commerce Committee, for example, appears to fill up with the most senior members at the beginning of the committee selection process. On the other hand, few members, it seems, would serve on the Public Transport or Aging Committees if they had the choice to serve on others. Panel (b) of Figure 1 shows the same pattern of results for the 35-member Senate. To display this data another way, the scatter plot in Figure 2 shows the relationship between the probability that legislators within each chamber-cohort-caucus district groupings served on one of the three most desirable committees, given on the Y-axis, and their seniority number in their chamber-cohort-caucus district group, given on the X-axis. The subgraphs in Figure 2 correspond to the size of the chamber-cohort-caucus district group that each legislator serves in. The lines show the linear best-fit for the data. As expected, the downward sloping lines in Figure 2 indicate that legislators who are more senior within their chamber-cohort-caucus district are more likely to serve on the more desirable committees (i.e. the committees preferred by the longest-serving members). Moreover, the same top three committees consistently capture legislators’ interest. The opposite pattern is observed for the least desirable committee (see Figure A1 in the Appendix). Legislators randomized to higher (i.e., worse) seniority numbers within their cohort end up on committees disproportionately filled with others who have been similarly (randomly) disadvantaged. [INSERT FIGURE 2 HERE] Relative Rank as a Source of Randomized Variation in Legislators’ Assignments And Typical Measures of Legislative Committee Quality 12 Most studies on the benefits of committee assignments employ an implicit model that the regard party leaders have for a legislator influences the quality of their committee assignments (from that legislators’ perspective), which itself then leads to better outcomes for legislators that party leaders hold in higher regard. In practice we do not have reliable measures for the value of each committee assignment to each individual legislator, and instead researchers use rough proxies such as whether a legislator sits on a ‘power committee’ or wins the assignments he or she requested.4 Our data allows us to avoid the problem of having to approximate the value of the committee for each legislator; instead we can directly measure the equivalent of the first stage of the process, the degree to which legislators can get the assignments they want – in the typical setup, the degree to which party leaders wish to reward them. In Arkansas, however, it is the randomized lottery number and not the party leader’s regard for a legislator that determines whether they win their preferred assignment. Because this lottery position is randomly determined, we thus can measure the impact of legislators getting their preferred assignments (the first stage of the process) directly on their outcomes. Though there are undoubtedly other factors that influence whether legislators achieve their goals or which committees they choose,5 these factors will be uncorrelated with the assignment mechanism in our data – the randomized lottery – whereas in traditional data they may be highly correlated with the assignment mechanism – the strategic decisions of party leaders. Relative Rank Substantially Predicts Committee Assignments. As a result of the seniority lottery, not only do certain committees tend to fill with members with higher relative ranks, but, as one would expect, members who have higher relative ranks also tend to systematically prefer 4 Legislators’ requests in typical legislatures are not necessarily reliable guides for their true preferences; few freshmen in the US House, for example, immediately request a seat on the Ways and Means committee. We thus cannot be confident that legislators actually ask for their most preferred committee assignments when they make requests to party leaders, and indeed there is ample evidence that they do not (Hedlund, DeLeo, and Hedlund 2011). 5 E.g., legislators both in Arkansas and elsewhere may decide to stay on less ‘objectively’ desirable committees to develop seniority, etc. 13 seats on some committees over others. While each committee has a different potential value to each legislator, as a lower bound on the effect of the lottery on the desirability of individual legislators’ committee portfolios we find that some committees are systematically valued more by legislators on average: legislators with better lottery numbers systematically gravitate to different committee assignments. Figure 3 presents the lowess regression lines for legislators’ relative rank and their likelihood of being on either a top committee in their chamber (panel a) or the least desirable committee in the chamber (panel b). As these graphs show, Relative Rank substantially predicts the quality of legislators’ committee assignments. Fully sixty percent of the legislators who are first in their cohort serve on one of the top committees in the legislature, whereas those lower in the seniority rankings are about 15 percentage points less likely to serve on one of these committees. (Recall that legislators with last pick by this metric still serve on top committees because the least senior members of the most senior cohort still pick before any members of the next most senior cohort.) Panel (b) shows that the effect for the least desirable committees is also strong. Table A2 in the Appendix shows that these patterns are also highly statistically significant. The Appendix also presents a randomization check verifying that the relative rank is independent from observable characteristics of legislators’ districts. [INSERT FIGURE 3 HERE] Data and Dependent Variables Our analysis uses 2,173 legislator-term observations from the period 1977-2011.6 We analyze sixteen dependent variables related to four aspects of legislators’ careers and goals: 6 There are 2,431 legislator-term observations during this period. However, only 2,173 of these observations are used because some legislators were the only ones elected in their caucus district in their cohort, and thus were not subject to any randomization, and because some committee assignment data was missing from 1977. 14 legislators’ electoral success, chamber leadership, policy productivity, and roll call voting. For electoral goals, we used data from Carsey et al. (2007) and the Arkansas Secretary of State’s website on whether each legislator won re-election, lost their primary re-election, lost their general re-election, ran for or won higher office, retired, was opposed in the general election, and was opposed in the primary election, as well as their general and primary election vote shares. We collected the amount of campaign money that each incumbent raised from www.followthemoney.org. For chamber leadership, we collected data from the Arkansas Legislative Digest on whether legislators served in party or official chamber leadership. Policy productivity variables were only available for the years 2005-2008. For those years we collected data from the Arkansas Legislative Digest on the number of bills legislators filed and the number of bills they passed, a metric other scholars have used to measure policy productivity and effectiveness (Kousser 2005). Last, we used members’ roll call votes from 1997-2010 to construct three final dependent variables about their voting and party loyalty: members’ extremity (based on their WNOMINATE score); the percentage of the time they vote with their party on roll calls where the majority of Democrats opposed the majority of Republicans (Party Unity); and the percentage of the time they vote with their party on roll calls where the majority of Democrats opposed the majority of Republicans and their party lost the vote, i.e., when the majority of their party is rolled (Party Unity (Losing Votes)). 3. Are Committee Assignments Valuable Enough To Discipline Legislators? It is clear that legislators prefer seats on some committees over others, but are these more desirable committee seats so valuable to legislators that they may be willing to change how they vote in order to win them? Table 2 presents our estimates of the benefits legislators gain by 15 obtaining their preferred committee assignments. In all the regressions in the Table the independent variable is Relative Rank, the scaled randomized seniority of legislators within their chamber-cohort-caucus district that allows them to pick from a much larger and more desirable set of committees. Because Relative Rank varies from 0 to 1, the coefficient on this variable indicates the estimated difference between the most and least senior member within each cohort – that is, between the cohort members who have the most and least choice in their assignments. Recall as described in the previous section that these limiting cases are roughly analogous to the situations in which a hypothetical party leader wished to reward a loyal legislator with the best available committee assignment that more senior members had not already taken or, alternatively, consign a disloyal one to the last remaining assignment after all others legislators’ wishes were granted.7 The dependent variables, each described in the previous section, are listed under each of the headings in Table 2. For each outcome we present the results from a regression without any fixed effects and the results from a regression with fixed effects for chamber-cohort-caucus district (i.e., the groups within which the randomizations occur). The last two rows under each dependent variable in Table 2 describe the number of observations and, when applicable, the number of fixed effects. As discussed, these dependent variables correspond to the key goals that scholars near-unanimously posit desirable committee assignments help legislators achieve. Table 2 shows that legislators’ relative rank does not have a statistically significant effect on any measures of their election outcomes. Legislators who have their pick of desirable committee assignments are not meaningfully more likely to win their primary or general election bids, raise campaign money, run for or win for higher office, deter opponents, or increase their 7 Legislators can be expected to choose their most preferred available choice since they choose for themselves (i.e., in a “serial dictatorship” arrangement; see Satterthwaite and Sonnenschein 1981). 16 vote share.8 They are also not noticeably more likely to be successful in achieving progressive ambition goals. When we spoke with Arkansas legislators, they told us that because of termlimits in the state, progressive ambition is one of their most salient goals (see also Kousser 2005). However, as Table 2 shows, we fail to reject the null hypothesis that legislators who choose their committee assignments first are just as likely to either run for or win higher office. The variable we examine related to chamber leadership – whether the legislator is elected to serve as a party leader in their chamber or a presiding office in their chamber – is also insignificant. We also find that legislators are no more likely to write nor pass bills as a result of their seniority. Last, we find no appreciable effect of assignments on whether legislators vote with their parties or vote more extremely. One interpretation of this effect is that legislators with better committee assignments are no more likely to influence the agenda such that they support it; another is that legislators do not vote differently simply by virtue of their assignments.9 In their totality, the results from Table 2 are clear and highly surprising in light of decades of scholars’ conventional wisdom about the value of desirable committee assignments. Across all thirty-six estimates for the eighteen dependent variables, we find no statistically significant effects for a legislators’ seniority on the outcomes of interest we identified (with a generous threshold of p < 0.10). Further, our estimates are based on a large number of observations and have substantively small standard errors. For example, the 95% confidence 8 This finding is consistent with qualitative evidence from Hall (1996), who finds that lawmakers generally do not see committee participation as an especially electorally rewarding activity. 9 This finding also rules out an alternative explanation for the null findings, namely that legislators do receive electoral benefits from more attractive committee assignments but use this additional ‘political capital’ to vote more extremely. In this way, committee membership might grant members additional leeway to vote against their constituents’ preferences (Cain, Ferejohn, Fiorina 1987, p. 87). However, the results show that legislators with more attractive committee assignments are neither more likely to be extreme nor more likely to vote with their party. Likewise, the consistent null results across the large number of variables we tested suggests that legislators do not use ‘political capital’ from their committee assignments in order to help them achieve other goals. 17 interval for the estimate of the decreased probability that a legislator loses a general election because of their seniority extends only to 1.2 percentage points. In summary, the benefits legislators may reap from having an upper hand in the committee assignment process appear to be at best meager. These results directly speak to whether party leaders can use the committee assignment process to form the basis for the enforcement of party discipline (see review in previous section). Though legislators clearly do prefer some assignments to others and thus see some non-zero value in winning better assignments, we found that these benefits appear to be at most quite small. On the other hand, legislators face quite significant electoral costs for voting out of step with their constituents (e.g., Fiorina 1974; Canes-Wrone, Brady, and Cogan 2002; Masket and Greene 2011). Given the substantial electoral costs legislators are thought to face for voting out of step with their constituents, our evidence thus suggests that the committee assignment process is unlikely to plausibly form an important basis for the formidable power over legislators’ roll call votes scholars typically posit that legislative parties exercise. 4. Party Power in Arkansas Persists Despite Parties’ Lack of Control Over Assignments In this section we add an additional empirical leg to our case that observed patterns of party power in most legislatures cannot be attributed to party leaders’ control over the committee assignment process. Quite simply, if we are correct that party control of the committee assignment process cannot explain why legislators vote with their parties so often, we would expect legislators to do so at similar rates in Arkansas as elsewhere because parties do not control assignments there. On the other hand, if party control over the committee assignment process represents the formidable disciplinary instrument that most scholars posit, we should expect to see conventional barometers of party power significantly fall in Arkansas’ unique institutional environment. In this section we further bolster our argument by documenting that 18 high levels of party voting and power do prevail in Arkansas despite the fact that Arkansan legislative party leaders do not control the committee assignment process. We employ the method proposed by Snyder and Groseclose (2000) to evaluate the extent of party loyalty in Arkansas. (There are legitimate criticisms to be made of this procedure [Krehbiel 2003; McCarty, Poole, and Rosenthal 2001]. We take no position about the best way to measure party influence, but merely hope to see whether applying an identical procedure in Arkansas and will yield similar results as in other legislatures.) This method first estimates legislators’ ideology from their votes on bills that passed or failed by large margins and thus where party pressure is unlikely to have been necessary. The procedure then uses these estimates and a dummy variable for the legislator’s party to predict legislators’ position on close roll call votes. The dummy variable thus estimates whether legislators voted differently than their ideology alone would have predicted. In Snyder and Groseclose’s formulation, the statistical significance of the dummy variable registers party influence, and the magnitude of the dummy indicates the strength of this influence. We created these same two summary outcomes for the Arkansas legislature – the percentage of the time that the coefficient of the party influence dummy was significant, and the average absolute value of this dummy (first calculated in each session, then averaged across sessions) – to facilitate comparisons with the results Snyder and Groseclose generated for Congress. For this analysis, we use the roll call votes taken in the Arkansas House10 during legislative sessions between 1997 and 2011. [INSERT TABLE 3 HERE] Table 3 compares our results from the Arkansas House with Snyder and Groseclose’s 10 Snyder and Groseclose (2000) note that this procedure is vulnerable to measurement error in small legislative chambers. As the Arkansas Senate has only 35 members, and thus is very prone to these concerns, we focus on the 100-member Arkansas House. 19 results from final passage votes in the US House and Senate. The first row shows that the dummy for party influence was significant on 41% of the votes we analyzed, versus the 39% of the time that Snyder and Groseclose find for the House and Senate (pooled). Likewise, we find that the absolute value of the magnitude of this influence is similar as well – 0.32 in Arkansas and 0.36 in the US House and Senate. Party loyalty thus appears to prevail at substantial levels in Arkansas, and similar levels to those seen in Congress. Further evidence on this point has recently been tendered by Anzia and Jackman (2012), who calculate average majority party roll rates in all 99 state legislative chambers in the United States. On this metric, another key barometer of party power (e.g., Cox and McCubbins 2005), Anzia and Jackman calculate that both of Arkansas’ chambers are typical of other state legislatures, occupying positions solidly in the middle of the pack (see Figure A2). In two separate comparisons, Arkansas thus appears quite typical in terms of ostensible party power. Precisely because party leaders in Arkansas do not make committee assignments, these results thus further support our contention that parties’ control of the committee assignment process is unlikely to form an important basis for party power. Not only do the benefits from committees appear meager, but even when parties do not control the assignment process legislators appear to vote with their parties and party majorities appear to avoid being rolled at similar rates. 5. Why Do Party Loyalists Fill Powerful Committees In Other Legislatures? Given that desirable committee assignments do not appear to be lucrative enough to induce party loyalty from legislators, why do party loyalists tend to fill the most powerful legislative committees (e.g., Cox and McCubbins 1993; Kanthak 2004; Hedlund et al. 2011)? We argue that party leaders stack powerful committees with loyalists because they expect these legislators to remain faithful to the party’s agenda as they cast important votes in these key 20 institutions. However, the data we have shown so far does not directly imply this explanation as there is yet a third possibility that might explain the correlation between a legislator’s party loyalty and her committee quality: the most loyal party members may simply tend to self-select on to the most powerful committees for other reasons entirely. In this section we further exploit the unique institutional environment in Arkansas to evaluate this possibility. The Contested Role of Self-Selection Even though party leaders control the assignment process in Congress, most legislators still win their first choice assignment, meaning that the presence of loyalists on powerful committees could simply be a result of loyal legislators’ own desire to sit on these committees (e.g., Gertzog 1976; Smith and Deering 1984). Party loyalists may tend to choose seats on the most powerful committees because these committees tend to be policy-oriented (Stewart and Groseclose 1999): if legislators from safe districts disproportionately focus on policymaking (instead of constituency service) (e.g., Grimmer 2012), these relatively more extreme legislators might thus also tend to dominate influential committees due to self-selection. On the other hand, there are also reasons to expect that if party leaders played no role in making assignments, committees might be composed of a representative assortment of members, or even of less loyal members. Krehbiel (1991) argues, for example, that committees are not composed of preferences outliers because legislators prefer for committees to be representative of their parent chamber for informational purposes; these concerns might be particularly salient for especially influential committees. Likewise, Weingast and Marshall (1988) might predict that committees should be composed of more moderate members: if legislators with more idiosyncratic preferences (e.g., legislators who support redirecting money towards the most rural counties) also tend to desire seats on less popular committees (e.g., Agriculture), this might produce a correspondence between a legislator’s presence on committees with high universal 21 desirability and their likelihood of having preferences similar to other members. The Arkansas state legislature represents a unique opportunity to understand how legislators arrange themselves on committees when party leaders play no role in making assignments.11 In the Absence of Party Leader Control, Loyalists Do Not Fill Powerful Committees To understand what kinds of legislators would fill powerful committees without party leaders’ interposition in the assignment process (and thus whether self-selection alone could explain the pattern that loyalists tend to fill powerful committees), we replicate the existing literature’s most common approach (e.g., Cox and McCubbins 1993): comparing the party loyalty of legislators who sit on one of the three most desirable committees in each chamber to those who do not.12 We identified these committees by the procedure described previously and shown in Figure 1: these three committees in each chamber are filled with the most senior legislators, implying that legislators typically find seats on these committees most desirable. To evaluate what kinds of committees the most loyal legislators tend to choose, we regress the same dependent variables dealing with how legislators vote on roll calls as shown in Table 2 on a dummy variable for whether the legislator sits on one of these top three committees. For the sake of comparability, we limit the sample to legislators on whom we also had seniority data (though the results still hold when including all legislators). These results are shown in Table 4. For consistency with Table 2, we estimate specifications with and without the fixed effects for chamber-cohort-caucus district groups. 11 Though Cox and McCubbins (1993, p. 43-44) dismiss the possibility that self-selection can explain why loyalists fill powerful committees with evidence from transfer requests, it is difficult to understand what committees legislators truly prefer because they have incentives to act strategically when submitting their assignment requests; see footnote 4. However, legislators in Arkansas can be expected to choose their most preferred available choice since they choose for themselves (see Satterthwaite and Sonnenschein 1981). 12 In Arkansas these are the House Revenue and Taxes Committee, Insurance and Commerce Committee, and Health, Welfare and labor Committee, and the Senate Insurance and Commerce, State Agencies, and Health and Welfare Committees. 22 [INSERT TABLE 4 HERE] A purely self-selection based account of the presence of party loyalists on powerful committees in other legislators would predict that loyal legislators would tend to fill the most desirable committees in Arkansas as well. However, Table 4 shows that we can confidently reject this account: in fact, most of the specifications are statistically significant in the opposite direction, indicating that disloyal legislators fill the most attractive committees in this setting where party leaders play no role in the assignment process. Legislators who sit on the three most desirable committees are around 2 percentage points less likely to vote with the majority of their fellow party members, and about 3 percentage points less likely to do so on the crucial votes where the majority of their fellow party members are ‘rolled’ (by either voting against a motion that passes or voting for a motion that fails). Members of these powerful committees also appear to be less extreme than their colleagues, with W-NOMINATE scores closer to the median legislator.13 That powerful committees tend to be composed of more moderate, less party-loyal legislators in Arkansas, where party leaders play no role in the assignment process, lends evidence to the assertion that leaders do play a crucial role in shaping the ideological composition of committees elsewhere. We know from evidence in the previous subsection that there is no direct causal effect of legislators sitting on these committees on their party loyalty; rather, the patterns we do find in Arkansas must be due to self-selection. However, these patterns of self-selection go in the exact opposite direction of what scholars reliably find in other legislatures (e.g., Cox and McCubbins 1993; Kanthak 2009), suggesting that parties do appear to 13 Though our data do not allow us to firmly determine the mechanism for this finding, we suspect that a simple intuition might explain this result: legislators who are more moderate in their voting and who desire to sit on more ‘in-demand’ committees both, by definition, are ‘more similar’ to the typical legislator in their behavior than legislators who desire seats on less popular committees or tend to vote against their colleagues. In other words, both of these measures capture a degree of legislators’ ‘typicality’. However, though the mechanism for this intriguing result is not material to our main findings, we believe more research should investigate its roots. 23 play a key role in filling key committees with their allies in legislatures where they can. Consistent with this theory, Manley (1970), Hinckley (1983), and Sinclair (1995) all document in qualitative interviews and from participant-observation that party leaders diligently consider legislators’ record of party loyalty when making assignments. However, our data suggest that this evidence should be interpreted differently than scholars typically do. Specifically, the evidence from Arkansas’ unique institutional environment suggests that party leaders’ careful attention to their members’ loyalty during the committee assignment process is best explained by their desire to control committees by stacking them with loyal legislators, not a quest to generate incentives for legislators to remain loyal. As was starkly illustrated with House Speaker John Boehner’s 2011 placement of staunch conservative House members Jeb Hensarling, Dave Camp, and Fred Upton on the so-called ‘budget supercommittee’ that was charged with reducing the federal debt, legislative parties recognize that loyal partisans on key committees play a key role in maintaining control over the agenda and shaping legislation – but it is clear that Boehner primarily placed Hensarling, Camp, and Upton on this key committee in order to better control what it did, not to meaningfully incent other members. 6. External Validity: Committees Wield Substantial Powers in Arkansas One may well wonder whether results from one state’s legislature could meaningfully speak to general theories of legislative organization. Are committees and parties in the Arkansas legislature similar enough to those in other legislatures that scholars should take interest in these results, or is Arkansas so different that the results shed little generalizable light? We argue for the external validity of our results by briefly discussing how the committee and party system in Arkansas shares the key institutional details central to the theories of committees with which we engage. First, as discussed in section 4, party voting prevails in Arkansas at levels similar to 24 Congress and in other state legislatures (Anzia and Jackman 2012). On the other hand, despite these similarities, state legislatures in general do tend to witness partisan stacking of powerful committees (Hedlund et al. 2011); Arkansas does genuinely stand apart from the pack when it comes to the disproportionate presence of moderates on its powerful committees. More importantly, the features that form the basis for committee power in legislative theories exist in Arkansas. Committees have sole jurisdiction over large policy areas, supervise regulatory agencies, are responsible for doling out substantial sums of state money in their areas of jurisdiction, and are de facto veto points for legislation in these areas. Discharge petitions circumventing committee veto power are exceedingly rare in Arkansas, with legislators and staff we spoke with only able to recall two occasions when a discharge petition has been successful in the last two decades. Legislators in Arkansas we interviewed also described procedures by which legislators can kill legislation they do not support in their committees – for example, by leaving the room during the vote (because nays and absences count identically). When a committee fails to pass a bill, legislators in Arkansas consider it “dead.” Likewise, committees in Arkansas undertake significant regulatory oversight and help appropriate the state’s $4.4 billion annual budget, which include a number of opportunities for members to steer money towards their districts. The most important institutional features in other legislatures are present in Arkansas too. We therefore believe that these results are valuable for better understanding outcomes seen elsewhere. 7. Discussion Understanding if and how party leaders succeed in passing policies more extreme than what the median legislator prefers is a longstanding and significant question about legislatures 25 (e.g., Krehbiel 1993; Cox and McCubbins 1993) that continues to grow in importance as partisan polarization continues to rise (e.g., Layman, Carsey, and Horowitz 2006; Burden and Frisby 2004). Scholars’ chief explanation for party control has long been that parties exploit their control of the committee assignment process to discipline rank-and-file members to be “more responsive to both the party’s leadership and goals” (Cox and McCubbins 1993, p. 182): desirable committee assignments are hypothesized to hold considerable benefits for legislators, and legislative leaders are thus believed to use the excludable nature of these benefits as carrots (and sticks) for enforcing party discipline (e.g., Shepsle 1978, p. 35; Smith 2000, p. 62; Stratmann 2000, p. 666; Snyder and Groseclose 2000, p. 194; see section 1 for review). However, existing studies have been unable to distinguish these theories from observationally equivalent alternatives due to potentially severe omitted variable bias that arises from the unobservable criteria that leaders use to make assignments and the possibility of systematic member self-selection to desirable committees. We overcame these challenges with data from the Arkansas legislature, where party leaders play no role in the committee assignment process and where a randomized lottery allowed us to estimate the causal effect of legislators’ membership on their desired committees. The results first showed that Arkansas state legislators are not significantly more likely to succeed in their re-election campaigns, raise money, influence policy, become leaders in their chambers, or vote differently by virtue of their assignments. Moreover, the estimates’ confidence intervals rule out even substantively small effects. This finding suggests that the benefits legislators can accrue from winning their preferred assignments are too small to plausibly form the basis of party power when considered relative to the significant electoral costs legislators face for voting out of step with their constituents (e.g., Fiorina 1974; Canes-Wrone, Brady, and 26 Cogan 2002). Bolstering this argument, we also found that canonical barometers of party power register at typical levels in Arkansas’ legislature even though parties do not control the Arkansas legislatures’ committee assignment process. To be clear, our data do not imply that committees have no value to legislators – the legislators clearly have some degree of preference over committees, suggesting they perceive at least a small advantage in sitting on some committees over others (see Figures 1 and 2). However, the benefits from these committees seem at most far too small to form a significant foundation for a workable theory of party power. Likewise, the traditional hallmarks of legislative party power appear to prevail in Arkansas at typical levels despite the fact that party leaders do not control the assignment process there. Yet just because committee assignments do not appear to serve as meaningful disciplinary instruments does not mean parties do not use them to accomplish their collective goals (Cox and McCubbins 1993, 2005). Consistent with the view that party leaders exploit legislative institutions to help accomplish such shared goals, we also produced new evidence that parties do appear to stack committees with legislators who they expect to remain loyal in legislatures where they can. While this pattern cannot be distinguished from legislators’ own self-selection in other legislatures, we demonstrated that when party leaders do not make assignments the most important committees are actually filled with slightly less loyal legislators. Consistent with qualitative evidence other scholars have produced, the results thus lend novel support to the argument that party leaders are responsible for the presence of their loyalists on powerful committees; however, they appear to do so largely because they wish loyalists to control important committees, not because placing loyalists on important committees allows party leaders to mint new loyalists. How parties succeed in “usurping” (Cox and McCubbins 1993) the power of their 27 legislatures to pass their preferred policies and control the agenda is an (increasingly) important question. Scholars have developed a number of compelling new accounts for this pattern, including, among others, the role of legislators’ personal preferences (van Houweling 2012), the role of campaign contributions (e.g., Cann 2008), and the role of informal party organizations (Masket 2007, 2009). Our findings suggest that we should look beyond the committee assignment process to explanations like these to understand how parties exercise power.14 References Adler, E. Scott, and John S. Lapinski. 1997. “Demand-Side Theory and Congressional Committee Composition: A Constituency Characteristics Approach.” American Journal of Political Science 41 (3): 895-918. Aldrich, John H. and James C. Battista. 2002. “Conditional Party Government in the States.” American Journal of Political Science 46(1): 164-172. Anzia, Sarah F. and Molly C. Jackman. 2012. “Legislative Organization and the Second Face of Power: Evidence from US State Legislatures.” Forthcoming, Journal of Politics. Battista, James C. 2006. “Jurisdiction, Institutional Structure, and Committee Representativeness.” Political Research Quarterly 59(1): 47-56. Bullock, Charles S. III. 1972. “Freshman Committee Assignments and Re-election in the United States House of Representatives.” American Political Science Review 66(3): 996-1007. Bullock, Charles S. III. 1976. “Motivations for Congressional Committee Preferences: Freshmen of the 92nd Congress.” Legislative Studies Quarterly 1: 201-212. Burden, Barry C. and Tammy M. Frisby. 2004. “Preferences, partisanship, and whip activity in 14 Likewise, rather than focusing on the benefits that come from committee assignments, the results suggest that researchers might do better to focus on the benefits legislators and parties derive from the committee system (e.g., Krehbiel 1991; Gilligan and Krehbiel 1997). 28 the US House of Representatives.” Legislative Studies Quarterly 29(4): 569-590. Burden, Barry C. 2004. “Candidate Positioning in US Congressional Elections.” British Journal of Political Science 34: 211-227. Cain, Bruce E., John Ferejohn, and Morris P. Fiorina. 1987. The Personal Vote: Constituency Service and Electoral Independence. Cambridge: Harvard University Press. Canes-Wrone, Brandice, David W. Brady, and John F. Cogan. 2002. “Out of Step, Out of Office: Electoral Accountability and House Members’ Voting.” American Political Science Review 96 (1): 127-140. Cann, Damon M. 2008. Sharing the Wealth: Member Contributions and the Exchange Theory of Party Influence in the US House of Representatives. State University of New York Press. Carsey, Thomas M., William D. Berry, Richard G. Niemi, Lynda W. Powell, and James M. Snyder. 2007. STATE LEGISLATIVE ELECTION RETURNS, 1967-2003. Crain, W. Mark, and John T. Sullivan. 1997. “Committee Characteristics and Re-Election Margins: An Empirical Investigation of the US House.” Public Choice 93 (3): 271-285. Crook, Sara Brandes, and John R. Hibbing. 1985. “Congressional Reform and Party Discipline: The Effects of Changes in the Seniority System on Party Loyalty in the US House of Representatives.” British Journal of Political Science 15 (2): 207-226. Coker, David C. and W. Mark Crain. 1994. “Legislative Committees as Loyalty-Generating Institutions.” Public Choice 81: 195-221.Cox, Gary W. and Mathew D. McCubbins. 1993. Legislative Leviathan: Party Government in the House. University of California Press. Cox, Gary W. and Mathew D. McCubbins. 2005. Setting the Agenda: Responsible Party Government in the US House of Representatives. Cambridge. Dow, Jay K., James W. Endersby, and Charles E. Menifield. 1998. “The Industrial Structure of 29 the California Assembly: Committee Assignments, Economic Interests, and Campaign Contributions.” Public Choice 94 (2): 67-83. Fenno, Richard F. 1973. Congressmen in Committees. Little Brown. Fiorina, Morris. 1974. Representatives, Roll Calls, and Constituencies. Lexington, MA: D.C. Heath. Fowler, Linda L., Scott R. Douglass, and Wesley D. Clark, Jr. “The Electoral Effects of House Committee Assignments.” Journal of Politics 42 (1): 307-319. Gertzog, Irwin N. 1976. “The Routinization of Committee Assignments in the US House of Representatives.” American Journal of Political Science 20: 693-712. Gilligan, Thomas W., and Keith Krehbiel. 1997. “Specialization Decisions Within Committee.” Journal of Law, Economics, and Organization 13 (2): 366-386. Grier, Kevin B. and Michael C. Munger. 1993. “Comparing Interest Group PAC Contributions to House and Senate Incumbents, 1980-1986.” Journal of Politics 55(3): 615-643. Grier, Kevin B. and Michael C. Munger. 1991. “Committee Assignments, Constituent Preferences, Campaign Contributions.” Economic Inquiry 29 (1): 24-43. Grimmer, Justin. 2012. “Appropriators Not Position Takers: The Distorting Effects of Electoral Incentives on Congressional Representation.” Forthcoming, American Journal of Political Science. Grimmer, Justin, and Eleanor Powell. 2012. “Congressmen in Exile: The Politics and Consequences of Involuntary Committee Removal.” Working Paper, Stanford University. Hall, Richard L. 1996. Participation in Congress. Yale University Press. Heberlig, Eric. S. 2003. “Congressional Parties, Fundraising, and Committee Ambition.” Political Research Quarterly 56: 151-162. Hedlund, Ronald D. and Samuel C. Patterson. 1992. “The Electoral Antecedents of State 30 Legislative Committee Assignments.” Legislative Studies Quarterly 17 (4): 539-559. Hedlund, Ronald D., Rob A. DeLeo, and David P. Hedlund. 2011. “Reading the Tea Leaves: Legislative Risk-Taking During the Committee Request and Assignment Process.” Paper presented at the 2011 State Politics and Policy Conference, Dartmouth University. Hedlund, Ronald D., Kevin Cooms, Nancy Martorano, and Keith E. Hamm. 2011. “Partisan Stacking on Legislative Committees.” Legislative Studies Quarterly 34(2): 175-191. Hibbing, John R. 1982. “Voluntary Retirement from the U.S. House of Representatives: Who Quits?” American Journal of Political Science 26 (3): 467-484. Kanthak, Kristin. 2004. “Exclusive committee assignments and party pressure in the US House of Representatives.” Public Choice 121: 391-412. Kanthak, Kristin. 2009. “US State Legislative Committee Assignments and Encouragement of Party Loyalty: An Exploratory Analysis.” State Politics and Policy Quarterly 9(3): 284303. Katz, Jonathan N., and Brian R. Sala. 1996. “Careerism, Committee Assignments, and the Electoral Connection.” American Political Science Review 90: 21-33. Kellerman, Michael, and Kenneth A. Shepsle. “Congressional Careers, Committee Assignments, and Seniority Randomization in the US House of Representatives.” Quarterly Journal of Political Science 4: 87-101. Kousser, Thad. 2005. Term Limits and the Dismantling of State Legislative Professionalism. Cambridge. Krehbiel, Keith. 1991. Information and Legislative Organization. University of Michigan Press. Krehbiel, Keith. 1993. “Where’s the Party?” British Journal of Political Science 23 (2): 235-266. Krehbiel, Keith. 2003. “The Coefficient of Party Influence.” Political Analysis 2003 11(1): 95103. 31 Layman, Geoffrey C., Thomas M. Carsey, and Juliana M. Horowitz. 2006. “Party Polarization in American Politics: Characteristics, Causes, and Consequences.” Annual Review of Political Science 9: 83-110. Leighton, Wayne A. and Edward J. Lopez. 2002. “Committee Assignments and the Cost of Party Loyalty.” Political Research Quarterly 55 (1): 59-90. Maltzman, Forrest. 1997. Competing Principals: Committees, Parties, and the Organization of Congress. Ann Arbor: University of Michigan Press. Manley, John F. 1970. The Politics of Finance: The House Committee on Ways and Means. Little Brown. Masket, Seth E. 2007. “It Takes an Outsider: Extralegislative Organization and Partisanship in the California Assembly, 1849-2006.” American Journal of Political Science 51(3): 482497. Masket, Seth E. 2009. No Middle Ground: How Informal Party Organizations Control Nominations and Polarize Legislatures. Michigan. Masket, Seth E. and Steven Greene. 2011. “When One Vote Matters: The Electoral Impact of Roll Call Votes in the 2010 Congressional Elections.” Paper Presented at the 2011 Meeting of the Midwest Political Science Association. Masters, Nicholas A. 1961. “Committee Assignments in the House of Representatives.” American Political Science Review 55 (2): 345-357. Mayhew, David R. 1974. Congress: The Electoral Connection. Yale University Press. McCarty, Nolan, Keith T. Poole, and Howard Rosenthal. 2001. “The Hunt for Party Discipline in Congress.” American Political Science Review 95 (3): 673-687. McCarty, Nolan, Keith T. Poole, and Howard Rosenthal. 2006. Polarized America: The Dance of Ideology and Unequal Riches. MIT Press. 32 Milyo, Jeffrey. 1997. “Electoral and Financial Effects of Changes in Committee Power: The Gramm-Rudman-Hollings Budget Reform, the Tax Reform Act of 1986, and the Money Committees in the House.” Journal of Law and Economics 40 (1): 93-111. Roberts, Jason M. and Steven S. Smith. 2003. “Procedural Contexts, Party Strategy, and Conditional Party Voting in the US House of Representatives, 1971-2000.” American Journal of Political Science 47(2): 305-317. Rohde, David W. and Kenneth A. Shepsle. 1973. “Democratic Committee Assignments in the House of Representatives: Strategic Aspects of a Social Choice Process.” American Political Science Review 67: 889-905. Romer, Thomas, and James M. Snyder. 1994. “An Empirical Investigation of the Dynamics of PAC Contributions.” American Journal of Political Science 38 (3): 745-769. Satterthwaite, Mark and Hugo Sonnenschein. 1981. “Strategy-proof Allocation Mechanisms at Differentiable Points.” Review of Economic Studies 48(4): 587-597. Shepsle, Kenneth A. 1978. The Giant Jigsaw Puzzle: Democratic Committee Assignments in the Modern House. University of Chicago Press. Sinclair, Barbara. 1995. Legislators, Leaders, and Lawmaking. Baltimore: Johns Hopkins University Press. Smith, Steven S., and Christopher J. Deering. 1983. “Changing Motives for the Committee Preferences of New Members of the United-States House.” Legislative Studies Quarterly 8: 271-281. Smith, Steven S. and Christopher J. Deering. 1984. Committees in Congress. Washington, DC: Congressional Quarterly Press. Smith, Steven S. 2000. Party Influence in Congress. Cambridge. Snyder, James M., Jr., and Tim Groseclose. 2000. “Estimating Party Influence in Congressional 33 Roll-Call Voting.” American Journal of Political Science 44(2): 193-211. Stewart, Charles III, and Tim Groseclose. 1999. “The Value of Committee Seats in the United States Senate, 1947-91.” American Journal of Political Science 43(3): 963-973. Stratmann, Thomas. 2000. “Congressional Voting Over Legislative Careers: Shifting Perceptions and Changing Constraints.” American Political Science Review 94 (3): 665-676. van Houweling, Robert P. 2012. Parties as Enablers: Individual Incentives for Partisan Legislative Organization. Manuscript, University of California, Berkeley. Weingast, Barry R. and William J. Marshall. 1988. “The Industrial Organization of Congress; or, Why Legislatures, Like Firms, Are Not Organized as Markets.” Journal of Political Economy 96(1): 132-163. Westefield, Louis P. 1974. “Majority Party Leadership and the Committee System in the House of Representatives.” American Political Science Review 68 (4): 1593-1604. 34 Table 1. Hypothetical Example of how Relative Rank is computed (a) (b) Grouped by Cohort and Seniority Grouped by Cohort Caucus District, and Seniority Term Random Caucus Term Random Caucus Relative Number Seniority District Number Seniority District Rank (Cohort) (Cohort) 2 1 D 2 4 A 1 2 2 B 2 6 A .5 2 3 B 2 11 A 0 2 4 A 2 2 B 1 2 5 B 2 3 B .67 2 6 A 2 5 B .33 2 7 C 2 9 B 0 2 8 D 2 7 C 1 2 9 B 2 10 C 0 2 10 C 2 1 D 1 2 11 A 2 8 D 0 1 12 D 1 14 A 1 1 13 B 1 15 A .67 1 14 A 1 18 A .33 1 15 A 1 23 A 0 1 16 C 1 13 B 1 17 C 1 16 C 1 1 18 A 1 17 C .67 1 19 D 1 20 C .33 1 20 C 1 25 C 0 1 21 D 1 12 D 1 1 22 D 1 19 D .75 1 23 A 1 21 D .5 1 24 D 1 22 D .25 1 25 C 1 24 D 0 Notes: This table illustrates how relative rank is calculated using a hypothetical 25-member Arkansas House populated with legislators who were either just elected or are serving their second term. 35 Table 2. Effect of Seniority within Cohort (Relative Rank) on Outcomes of Interest (OLS) Electoral Goals Coeff. Std. Error # Obs. # F.E. Coeff. Std. Error # Obs. # F.E. Coeff. Std. Error # Obs. # F.E. Win Reelection F.E. No F.E. 0.012 0.026 (0.021) (0.029) 1,875 433 1,875 - Lose Primary F.E. No F.E. -0.001 -0.004 (0.010) (0.010) 1,875 433 1,875 - Lose General F.E. No F.E. 0.001 0.001 (0.006) (0.006) 1,875 433 1,875 - Opposed in General Opposed in Primary Vote Share in General F.E. 0.014 (0.019) No F.E. 0.010 (0.020) F.E. 0.005 (0.020) No F.E. 0.000 (0.021) F.E. -0.012 (0.031) No F.E. -0.016 (0.020) 1,875 433 1,875 - 1,875 433 1,875 - 207 133 207 - Chamber Goal Serve as Chamber Leader F.E. No F.E. -0.002 -0.002 (0.013) (0.013) 2,084 441 2,084 - Run for Higher Office F.E. No F.E. -0.002 -0.002 (0.012) (0.012) 2,084 441 2,084 - Vote Share in Primary F.E. No F.E. -0.026 -0.006 (0.038) (0.022) 223 163 223 - Policy Productivity Goals Number of Bills Filed Number of Bills Passed F.E. -2.83 (1.85) No F.E. -2.54 (2.19) F.E. -0.74 (1.25) No F.E. -0.56 (1.51) 264 30 264 - 264 30 264 - Party Unity F.E. No F.E. 0.002 0.001 (0.013) (0.014) 1,043 133 1,043 - Win Higher Office Retire F.E. 0.008 (0.009) No F.E. 0.008 (0.009) F.E. -0.009 (0.018) No F.E. -0.018 (0.023) 2,084 441 2,084 - 1,875 433 1,875 - Money Raised F.E. No F.E. -9164 -2895 (6512) (6327) 453 61 453 - Roll Call Voting Party Unity (Losing Votes) F.E. No F.E. -0.005 -0.003 (0.022) (0.024) 1,001 133 1,001 Extremity (W-Nominate) F.E. No F.E. -0.005 -0.005 (0.032) (0.032) 1,040 133 1,040 - Notes: Fixed effects refer to the groups in which the randomization takes place (i.e. for each chamber-cohort-caucus district group). The independent variable for all regressions, relative rank, is the scaled random seniority rank of each legislator within their caucus district. The variable ranges from 0 to 1, with legislators assigned to 1 as the most senior. Coefficients represent the estimated effects of being the most senior member instead of the least senior member. No outcomes are significant at the 0.10 level. Ns differ in regressions with dependent variables for which data is not available for all years. Table 3. Comparing Party Influence In Arkansas And The US Congress US Senate and US House (from Snyder an Arkansas House Groseclose 2000) % Coefficients Significant at 0.05 41% 39% Average Absolute Value of Party Influence Dummy 0.32 0.36 Number of Members 100 100 & 435 Number of Sessions 8 44 Notes: See text for description of the Snyder and Groseclose (2000) method for calculating pa influence. Results calculated for votes on legislations’ final passage. 37 Table 4. Association Between Committee Attractiveness and Party Loyalty (OLS) Party Unity Extremity Dependent Variable Party Unity (Losing Votes) (W-Nominate) Fixed Effects Used? Yes No Yes No Yes No Dummy for On a Top -0.027** -0.017^ -0.038* -0.027^ 3 Committee -0.045* -0.018 (0.009) (0.009) (0.016) (0.016) (0.024) (0.023) Constant 0.764** 0.563** 0.449*** 0.436*** (0.006) (0.011) (0.016) (0.016) N 1,043 1,043 1,001 1,001 1,040 1,040 # of Fixed Effects 133 133 133 Notes: Fixed effects refer to the groups in which the randomization takes place (i.e. for each chamber-cohort-caucus district group). ^Sig. at the 0.10 level (two-tailed), *Sig. at the 0.05 level (two-tailed), **Sig. at the 0.01 level (two-tailed). 38 Figure 1. Average Seniority Scores on House and Senate Committees Notes: The graph gives the average seniority score (with a 95 percent confidence interval) of the members serving on the standing committees in the Arkansas state House (in panel a) and Senate (b) from the period 1977-2011. The seniority scores range from 1 to 100 for the House and from 1 to 35 for the Senate. 39 Figure 2. Probability of Being on a Top Committee, by Seniority Number (Sub-graphs by cohort size) Notes: Each sub-graph corresponds to the size of the chamber-cohort-caucus district group that each legislator serves in. Each dot represents the percent of people with that lottery number in their cohort that serves on one of the top committees in the chamber. 40 Figure 3. Probability of Being on Best and Worst Committees, by Relative Lottery Number Notes: This presents the locally weighted regression (lowess) to estimate the predicted probability that a legislator serves on one of the top committees (panel a) and the least desirable committee (panel b) in the chamber based on their relative rank in their chamber-cohort-caucus district group. 41 Appendix for “How Do Committee Assignments Facilitate Majority Party Control? Evidence from the Seniority Lottery in the Arkansas State Legislature” Randomization Check: Balance in Covariates Across Groups We conducted a randomization using covariates of interest available from the US Census were constant across our randomized treatment. Specifically, we tested whether legislators who were assigned higher seniority were more likely to come from districts that had different median ages, median household incomes, population percentage black, Asian, and Hispanic, and population percent rural. We also checked the legislator’s partisanship. Unfortunately, the US Census only began providing this legislative district level data beginning with the 2000 Census. However, the seniority selection process has remained the same throughout the past several decades so we do not expect that our results would have differed if we had access to such data for previous decades. Table A1. Balance of Covariates Across Relative Rank and Seniority Score Independent Variables Dependent Variable: Relative Dependent Variable: Rank Absolute Seniority Rank Legislator is a Democrat 0.023 -4.732 (0.031) (2.845) Median Age -0.001 -0.018 (0.004) (0.322) Median Household Income (in 0.007 0.258 $10,000s) (0.019) (1.699) Black Percent -0.128 -4.161 (0.087) (7.834) Asian Percent -1.281 -32.54 (1.485) (133.4) Hispanic Percent -0.383 -6.980 (0.256) (22.98) Rural Percent -0.022 -5.063 (0.065) (5.811) Constant 0.542** 48.63** (0.175) (15.78) 2 R .0120 .0094 N 673 673 Notes: In the first column, the dependent variable is the scaled random seniority rank of each legislator within their caucus district. The variable ranges from 0 to 1, with legislators assigned to 1 as the most senior. In the second column, dependent variable is the seniority rank of each legislator within their caucus district. The variable ranges from 1 to 100 in the House and 1 to 35 in the Senate, with legislators assigned to 1 as the most senior. No results are significant at the 0.10 level. The two columns in Table A1 display the results and show that both the Relative Rank metric and legislators’ seniority numbers themselves are independent of the characteristics of their districts. F tests show that both relative rank (F(7,665) = 1.15, p = .32) and the raw seniority scores F(7,665) = 0.90, p = .51) are unrelated to these characteristics. This gives us additional confidence that the randomization was successful and no other confounding factors lead some 42 legislators to gain better committee assignments than others. The Desirability of Legislators’ Committee Assignments and their Relative Rank The regression results displayed in Table A2 show that the pattern in Figure 3 holds up quantitatively as well, with the most senior members in a cohort about 15 percentage points more likely to sit on one of the top committees and members with the lowest seniority about 13 percentage points more likely to serve on the least desirable committee. Both results are statistically significant at the 0.01 level. The two columns for each set of regressions show that these effects are robust to the inclusion of fixed effects for each chamber-cohort-caucus district group. We also test our assumptions by assigning each legislator a score that corresponds to the average seniority number on that legislators’ most desirable committee. To do so, we first assign each committee in each session a score corresponding to the average seniority number on that committee. We then calculate the desirability of best committee, the average seniority on the committee with the highest such average of all the committees on which a legislator sits. We finally rescale this metric from 0 to 1, so that 1 corresponds to the most desirable committee in any session and 0 corresponds to the least desirable committee in any session. Table A2 shows that legislators’ Relative Rank again substantially predicts how desirable their best committee is. Table A2. Effect of Relative Rank on Likelihood of Serving on Desirable Committees (OLS) Dependent Variable Fixed Effects? Relative Rank Constant N Observations Number of Fixed Effects On Top Committee Yes No 0.15** 0.15** (0.03) (0.03) 0.41** (0.02) 2,084 441 2,084 - On Least Desirable Committee Yes No -0.14** -0.14** (0.02) (0.02) 0.26** (0.01) 2,084 441 2, 084 - Desirability of Best Committee Yes No 0.06** 0.06** (0.01) (0.01) 0.49** (0.01) 2,054 438 2,054 - Notes: The independent variable for all regressions, relative rank, is the scaled random seniority rank of each legislator within their caucus district. The variable ranges from 0 to 1, with legislators assigned to 1 as the most senior. Coefficients represent the estimated effects of being the most senior member instead of the least senior member. Fixed effects are used for the groups in which the randomization takes place (i.e. for each chamber-cohort-caucus district group). ^Sig. at the 0.10 level (two-tailed), *Sig. at the 0.05 level (two-tailed), **Sig. at the 0.01 level (two-tailed). These results validate our assumption that a legislators’ Relative Rank constitutes a large, exogenous shock to the desirability of their assignments. However, note that these aggregate measures only capture the aspects of committee desirability that are common to all legislators, whereas many committees (e.g. Agriculture) are likely far more attractive to some legislators than to others. It is therefore likely that these results significantly understate the degree to which a legislator’s Relative Rank affects the attractiveness of her assignments. 43 Revealed Preference for the Least Desirable Committee Figure A1 shows the relationship between the probability that legislators served on the least desirable committees, given on the Y-axis, and their seniority number in their chambercohort-caucus district group, given on the X-axis. The subgraphs in Figure A1 correspond to the size of the chamber-cohort-caucus district group that each legislator serves in. The lines show the linear best-fit for the data. The upward sloping lines in Figure A1 indicate that legislators randomly assigned less senior lottery numbers are more likely to serve on the least desirable committee in their chamber. Figure A1. Probability of Being on Least Desirable Committee, by Seniority Number (Subgraphs by cohort size) Notes: Each sub-graph corresponds to the size of the chamber-cohort-caucus district group that each legislator serves in. Each dot represents the percent of people with that lottery number in their cohort that serves on the least desirable committee in the chamber. The lines show the linear best fit for the data.
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