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Ideology, Party, and Opinion: Explaining Individual Legislator ACA Implementation Votes in the States

Published online by Cambridge University Press:  25 January 2021

Boris Shor*
Affiliation:
University of Houston, Houston, TX, USA
*
Boris Shor, Department of Political Science, University of Houston, PGH Building, 3551 Cullen Boulevard, Houston, TX 77204, USA. Email: [email protected]

Abstract

Why do state legislators vote the way they do? Which influence is predominant: ideology, party, or public opinion? The implementation votes surrounding the Affordable Care Act (ACA) provides a unique setting to examine this question, as they make all three considerations highly salient. State roll call votes on ACA implementation were sometimes polarized and sometimes unexpectedly bipartisan. What accounts for the heterogeneity in individual legislator behavior on bills implementing the ACA at the state level? Using new data on legislator ideology and votes from 2011–2015, I show evidence that legislator ideology was by far the most important predictor of voting on implementation votes, far more so than legislator party or public opinion. Moreover, I show the influence of ideology is heterogeneous by issue area and bill.

Type
Research Article
Copyright
Copyright © The Author(s) 2018

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References

Aldrich, John H, and Coleman Battista, James S.. 2002. “Conditional Party Government in the States.” American Journal of Political Science 46 (1): 164172.CrossRefGoogle Scholar
Bafumi, Joseph, and Gelman, Andrew. 2006. “Fitting Multilevel Models When Predictors and Group Effects Correlate.” Paper presented at the Annual meeting of the American Political Science Association, Philadelphia. August 2006CrossRefGoogle Scholar
Barber, Michael, and McCarty, Nolan M.. 2015. “Causes and Consequences of Polarization.” In Solutions to Political Polarization in America, ed. Persily, Nathaniel, 1558. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Barrilleaux, Charles, and Rainey, Carlisle. 2014. “The Politics of Need Examining Governors' Decisions to Oppose the ”Obamacare“ Medicaid Expansion.” State Politics & Policy Quarterly 14 (4): 437460.CrossRefGoogle Scholar
Bindman, Andrew B., and Schneider, Andreas G.. 2011. “Catching a Wave - Implementing Health Care Reform in California.” New England Journal of Medicine 364 (16): 14871489.CrossRefGoogle Scholar
Clinton, Joshua, Jackman, Simon, and Rivers, Douglas. 2004. “The Statistical Analysis of Roll Call Data.” American Political Science Review 98:355370.CrossRefGoogle Scholar
Cox, Gary, and McCubbins, Mathew. 2005. Setting the Agenda: Responsible Party Government in the US House of Representatives. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Cox, Gary W., and McCubbins, Mathew. 1993. Legislative Leviathan: Party Government in the House. Berkeley: University of California Press.Google Scholar
Erikson, Robert S., Wright, Gerald C., and McIver, John P.. 1993. Statehouse Democracy: Public Opinion and Policy in the American States. New York: Cambridge University Press.Google Scholar
Erikson, Robert S., Wright, Gerald C., and McIver, John P.. 2006. “Public Opinion in the States: A Quarter Century of Change and Stability.” In Public Opinion in State Politics, ed. Cohen, Jeffrey E.. Stanford: Stanford University Press, 229253.Google Scholar
Gelman, Andrew. 2005. “Two-Stage Regressiona and Multilevel Modeling: A Commentary.” Political Analysis 13:459461.CrossRefGoogle Scholar
Gelman, Andrew, and Hill, Jennifer. 2006. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Gray, Virginia, Lowery, David, Fellowes, Matthew, and McAtee, Andrea. 2004. “Public Opinion, Public Policy, and Organized Interests in the American States.” Political Research Quarterly 57 (3): 411420. (accessed August 7, 2018).CrossRefGoogle Scholar
Greenhill, Brian, Ward, Michael D., and Sacks, Audrey. 2011. “The Separation Plot: A New Visual Method for Evaluating the Fit of Binary Models.” American Journal of Political Science 55:9901002.CrossRefGoogle Scholar
Haeder, Simon F., and Weimer, David L.. 2015. “You Can't Make Me Do It, but I Could Be Persuaded: A Federalism Perspective on the Affordable Care Act.” Journal of Health Politics, Policy and Law 40:281323.CrossRefGoogle Scholar
Herron, Michael C. 1999. “Postestimation Uncertainty in Limited Dependent Variable Models.” Political Analysis 8 (1): 8398.CrossRefGoogle Scholar
Jacobs, Lawrence R., and Callaghan, Timothy. 2013. “Why states expand Medicaid: Party, resources, and history.” Journal of Health Politics, Policy and Law 38 (5): 10231050.CrossRefGoogle ScholarPubMed
Jones, David K., Bradley, Katharine W. V., and Oberlander, Jonathan. 2014. “Pascal's wager: health insurance exchanges, Obamacare, and the Republican dilemma.” Journal of Health Politics, Policy and Law 39 (1): 97137.CrossRefGoogle ScholarPubMed
Kernell, Georgia. 2009. “Giving Order to Districts: Estimating Voter Distributions with National Election Returns.” Political Analysis 17 (3): 215235.CrossRefGoogle Scholar
Lax, Jeffrey R., and Phillips, Justin H.. 2009a. “Gay Rights in the States: Public Opinion and Policy Responsiveness.” American Political Science Review 103 (3): 367386.CrossRefGoogle Scholar
Lax, Jeffrey R., and Phillips, Justin H.. 2009b. “How Should We Estimate Public Opinion in The States?American Journal of Political Science 53 (1): 107121.CrossRefGoogle Scholar
Lee, Frances E. 2009. Beyond Ideology. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Levendusky, Matthew S., Pope, Jeremy C., and Jackman, Simon D.. 2008. “Measuring District-Level Partisanship with Implications for the Analysis of U.S. Elections.” The Journal of Politics 70 (3): 736753.CrossRefGoogle Scholar
McCarty, Nolan, Poole, Keith T., and Rosenthal, Howard. 2006. Polarized America: The Dance of Ideology and Unequal Riches. Cambridge: MIT Press.Google Scholar
Noel, Hans. 2013. Political Ideologies and Political Parties in America. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Nyhan, Brendan, McGhee, Eric, Sides, John, Masket, Seth, and Greene, Steven. 2012. “One Vote Out of Step? The Effects of Salient Roll Call Votes in the 2010 Election.” American Politics Research 20 (10): 844879.CrossRefGoogle Scholar
Park, David K., Gelman, Andrew, and Bafumi, Joseph. 2004. “Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls.” Political Analysis 12:375385.CrossRefGoogle Scholar
Poole, Keith, and Rosenthal, Howard. 1985. “A Spatial Model for Legislative Roll Call Analysis.” American Journal of Political Science 29 (2): 357384.CrossRefGoogle Scholar
Poole, Keith, and Rosenthal, Howard. 1991. “Patterns of Congressional Voting.” American Journal of Political Science 35 (1): 228278.CrossRefGoogle Scholar
Poole, Keith, and Rosenthal, Howard. 1997. Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press.Google Scholar
Poole, Keith T., and Rosenthal, Howard. 2007. Ideology and Congress. New York: Transaction Publishers.Google Scholar
Raudenbush, Stephen W., and Bryk, Anthony S.. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Newbury Park: Sage.Google Scholar
Rigby, Elizabeth, and Haselswerdt, Jake. 2013. “Hybrid Federalism, Partisan Politics, and Early Implementation of State Health Insurance Exchanges.” Publius: The Journal of Federalism 43 (3): 368391.CrossRefGoogle Scholar
Shor, Boris, Bafumi, Joseph, Keele, Luke, and Park, David. 2007. “A Bayesian Multilevel Modeling Approach to Time-Series Cross-Sectional Data.” Political Analysis 15 (2): 165181. (accessed August 7, 2018).CrossRefGoogle Scholar
Shor, Boris, and McCarty, Nolan. 2011. “The Ideological Mapping of American Legislatures.” American Political Science Review 105 (3): 530551.CrossRefGoogle Scholar
Tausanovitch, Chris, and Warshaw, Christopher. 2013. “Measuring Constituent Policy Preferences in Congress, State Legislatures, and Cities.” Journal of Politics 75 (2): 330342.CrossRefGoogle Scholar
Warshaw, Christopher, and Rodden, Jonathan. 2012. “How Should We Measure District-Level Public Opinion on Individual Issues?Journal of Politics 74 (1): 203219.CrossRefGoogle Scholar
Western, Bruce. 1998. “Causal Heterogeneity in Comparative Research: A Bayesian Modelling Approach.” American Journal of Political Science 42:12331259.CrossRefGoogle Scholar
Wright, Gerald C., and Schaffner, Brian F.. 2002. “The Influence of Party: Evidence from the State Legislatures.” The American Political Science Review 96 (2): 367379.CrossRefGoogle Scholar