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Measuring Institutional Design in U.S. States

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  • Scott J. LaCombe

Abstract

Objective The role of institutions in state politics has been recognized for decades. However, most of this research has evaluated the role of a single institution at a time, such as the role of the ballot initiative or legislative professionalism. Little is known about how institutions may have counterbalancing or reinforcing effects. Method I propose evaluating institutions collectively much in the way that comparative politics scholars have evaluated the collective set of institutions that create levels of democracy. Results Through an exploratory factor analysis, I find that state institutions can primarily be understood along two dimensions, accountability pressure and checks and balances. I use a Bayesian factor analysis of mixed data to generate institutional scores for all 50 states along both dimensions from 1975 to 2016. Conclusion Theses scores will be a resource to understand how a state`s collective institutional environment affects a wide variety of phenomena, from policy responsiveness to voter turnout or policy innovation.

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  • Scott J. LaCombe, 2021. "Measuring Institutional Design in U.S. States," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1511-1533, July.
    • Handle: RePEc:bla:socsci:v:102:y:2021:i:4:p:1511-1533
    DOI: 10.1111/ssqu.12986
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    1. Shawn Treier & Simon Jackman, 2008. "Democracy as a Latent Variable," American Journal of Political Science, John Wiley & Sons, vol. 52(1), pages 201-217, January.
    2. Devin Caughey & Christopher Warshaw, 2016. "The Dynamics of State Policy Liberalism, 1936–2014," American Journal of Political Science, John Wiley & Sons, vol. 60(4), pages 899-913, October.
    3. Martin, Andrew D. & Quinn, Kevin M., 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999," Political Analysis, Cambridge University Press, vol. 10(2), pages 134-153, April.
    4. Caughey, Devin & Warshaw, Christopher, 2015. "Dynamic Estimation of Latent Opinion Using a Hierarchical Group-Level IRT Model," Political Analysis, Cambridge University Press, vol. 23(2), pages 197-211, April.
    5. Jens Hainmueller & Dominik Hangartner, 2019. "Does Direct Democracy Hurt Immigrant Minorities? Evidence from Naturalization Decisions in Switzerland," American Journal of Political Science, John Wiley & Sons, vol. 63(3), pages 530-547, July.
    6. Klaå Nja, Marko & Titiunik, Rocã O, 2017. "The Incumbency Curse: Weak Parties, Term Limits, and Unfulfilled Accountability," American Political Science Review, Cambridge University Press, vol. 111(1), pages 129-148, February.
    7. Levitt, Steven D, 1996. "How Do Senators Vote? Disentangling the Role of Voter Preferences, Party Affiliation, and Senate Ideology," American Economic Review, American Economic Association, vol. 86(3), pages 425-441, June.
    8. John G. Matsusaka, 2018. "Public policy and the initiative and referendum: a survey with some new evidence," Public Choice, Springer, vol. 174(1), pages 107-143, January.
    9. Jeffrey R. Lax & Justin H. Phillips, 2012. "The Democratic Deficit in the States," American Journal of Political Science, John Wiley & Sons, vol. 56(1), pages 148-166, January.
    10. Nicholas A. Valentino & David O. Sears, 2005. "Old Times There Are Not Forgotten: Race and Partisan Realignment in the Contemporary South," American Journal of Political Science, John Wiley & Sons, vol. 49(3), pages 672-688, July.
    11. Quinn, Kevin M., 2004. "Bayesian Factor Analysis for Mixed Ordinal and Continuous Responses," Political Analysis, Cambridge University Press, vol. 12(4), pages 338-353.
    12. Pemstein, Daniel & Meserve, Stephen A. & Melton, James, 2010. "Democratic Compromise: A Latent Variable Analysis of Ten Measures of Regime Type," Political Analysis, Cambridge University Press, vol. 18(4), pages 426-449.
    13. Ludwig Fahrmeir & Alexander Raach, 2007. "A Bayesian Semiparametric Latent Variable Model for Mixed Responses," Psychometrika, Springer;The Psychometric Society, vol. 72(3), pages 327-346, September.
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