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Modeling Heterogeneity in Pooled Event History Analysis

Published online by Cambridge University Press:  25 January 2021

Rebecca J. Kreitzer  and
Frederick J. Boehmke
Rebecca J. Kreitzer*
Affiliation:
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Frederick J. Boehmke
Affiliation:
University of Iowa, Iowa City, IA, USA
*
Rebecca J. Kreitzer, University of North Carolina at Chapel Hill, Public Policy Department, Campus Box #3435, UNC-Chapel Hill, NC 27599, USA. Email: [email protected]
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Abstract

Pooled event history analysis (PEHA) allows researchers to study the effects of variables across multiple policies by stacking the data and estimating the parameters in a single model. Yet this approach to modeling policy diffusion implies assumptions about homogeneity that are often violated in reality, such that the effect of a given variable is constant across policies. We relax this assumption and use Monte Carlo simulations to compare common strategies for modeling heterogeneity, testing these strategies with increasing levels of variance. We find that multilevel models with random coefficients produce the best estimates and are a significant improvement over other models. In addition, we show how modeling similar policies as multilevel structures allows researchers to more precisely explore the theoretical implications of heterogeneity across policies. We provide an empirical example of these modeling approaches with a unique data set of 29 antiabortion policies.

Keywords

policy innovation/diffusionpublic policypooled time seriesevent history analysisquantitative methodsmethodologysimulationsabortion policy
Type
Research Article
Information
State Politics & Policy Quarterly , Volume 16 , Issue 1: Special Issue Title: Policy Diffusion , March 2016 , pp. 121 - 141
Copyright
Copyright © The Author(s) 2016

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References

Balla, Steven J. 2001. “Interstate Professional Associations and the Diffusion of Policy Innovations.” American Politics Research 29 (3): 221–45..CrossRefGoogle Scholar
Berry, Frances Stokes, and Berry, William D.. 1990. “State Lottery Adoptions as Policy Innovations: An Event History Analysis.” American Political Science Review 84 (2): 395–415..CrossRefGoogle Scholar
Berry, William D., Ringquist, Evan J., Fording, Richard C., and Hanson, Russell L.. 1998. “Measuring Citizen and Government Ideology in the American States, 1960-93.” American Journal of Political Science 42 (1): 327–48..CrossRefGoogle Scholar
Boehmke, Frederick J. 2009. “Approaches to Modeling the Adoption and Diffusion of Policies with Multiple Components.” State Politics & Policy Quarterly 9 (2): 229–52..CrossRefGoogle Scholar
Boehmke, Frederick J., and Skinner, Paul. 2012. “The Determinants of State Policy Innovativeness.” Presented at the 2012 State Politics and Policy Conference, Houston, February 16–18.Google Scholar
Cheah, B. C. 2009. Clustering Standard Errors or Modeling Multilevel Data. New York: Columbia University.Google Scholar
Cook, E. A., Jelen, T. G. Wilcox, W. C., and Wilcox, C. 1992. Between Two Absolutes: Public Opinion and the Politics of Abortion. Boulder, CO: Westview Press.Google Scholar
Elkins, Zachary, Guzman, Andrew T., and Simmons, Beth A.. 2006. “Competing for Capital: The Diffusion of Bilateral Investment Treaties, 1960-2000.” International Organization 60 (4): 811–46..CrossRefGoogle Scholar
Franzese, Robert J. 2005. “Empirical Strategies for Various Manifestations of Multilevel Data.” Political Analysis 13 (4): 430–46..CrossRefGoogle Scholar
Gelman, Andrew, and Hill, Jennifer. 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press.Google Scholar
Grossback, Lawrence J., Nicholson-Crotty, Sean, and Peterson, David A.. 2004. “Ideology and Learning in Policy Diffusion.” American Politics Research 32 (5): 521–45..CrossRefGoogle Scholar
Guttmacher Institute Report. 2013. “2012 Saw Second-Highest Number of Abortion Restrictions Ever.” http://www.guttmacher.org/media/inthenews/2013/01/02/index.html (accessed June 12, 2015).Google Scholar
Harden, Jeffrey J. 2011. “A Bootstrap Method for Conducting Statistical Inference with Clustered Data.” State Politics & Policy Quarterly 11 (2): 223–46..CrossRefGoogle Scholar
Harris, Kathleen M. 1993. “Work and Welfare among Single Mothers in Poverty.” American Journal of Sociology 99 (2): 317–52..CrossRefGoogle Scholar
Karch, Andrew, Nicholson-Crotty, Sean, Woods, Neal D., and Bowman, Ann O'M.. 2013. “Policy Diffusion and the Pro-innovation Bias.” Presented at the 2013 State Politics and Policy Conference, Iowa City, May 24–25.Google Scholar
Kelly, Patrick J., and Lim, Lynette L.-Y.. 2000. “Survival Analysis for Recurrent Event Data: An Application to Childhood Infectious Diseases.” Statistics in Medicine 19 (1): 13–33..3.0.CO;2-5>CrossRefGoogle ScholarPubMed
King, Gary, and Roberts, Margaret E.. 2015. “How Robust Standard Errors Expose Methodological Problems They Do Not Fix.” Political Analysis 23 (2): 159–79..CrossRefGoogle Scholar
Kreitzer, Rebecca J. 2015. “Politics and Morality in State Abortion Policy.” State Politics & Policy Quarterly 15 (1): 41–66..CrossRefGoogle Scholar
Makse, Todd, and Volden, Craig. 2011. “The Role of Policy Attributes in the Diffusion of Innovations.” Journal of Politics 73 (1): 108–24..CrossRefGoogle Scholar
Medoff, Marshall H., and Dennis, Christopher. 2011. “TRAP Abortion Laws and Partisan Political Party Control of State Government.” American Journal of Economics and Sociology 70 (4): 951–73..CrossRefGoogle ScholarPubMed
Meier, Kenneth J., and McFarlane, Deborah R.. 1993. “The Politics of Funding Abortion State Responses to the Political Environment.” American Politics Research 21 (1): 81–101..CrossRefGoogle ScholarPubMed
Mintrom, Michael. 1997. “Policy Entrepreneurs and the Diffusion of Innovation.” American Journal of Political Science 41 (3): 738–70..CrossRefGoogle Scholar
Mooney, Christopher Z., and Lee, Mei-Hsien. 1995. “Legislative Morality in the American States: The Case of Pre-Roe Abortion Regulation Reform.” American Journal of Political Science 39 (3): 599–627..CrossRefGoogle Scholar
Moulton, Brent R. 1990. “An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit.” Review of Economics and Statistics 72 (2): 334–38..CrossRefGoogle Scholar
Pacheco, Julianna. 2012. “The Social Contagion Model: Exploring the Role of Public Opinion on the Diffusion of Antismoking Legislation Across the American States.” Journal of Politics 74 (1): 187–202..CrossRefGoogle Scholar
Patton, Dana. 2007. “The Supreme Court and Morality Policy: The Impact of Constitutional Context.” Political Research Quarterly 60 (3): 468–88..CrossRefGoogle Scholar
Plümper, Thomas, and Troeger, Vera E.. 2007. “Efficient Estimation of Time-Invariant and Rarely Changing Variables in Finite Sample Panel Analyses with Unit Fixed Effects.” Political Analysis 15 (2): 124–39..CrossRefGoogle Scholar
Primo, David M., Jacobsmeier, Matthew L., and Milyo, Jeffrey. 2007. “Estimating the Impact of State Policies and Institutions with Mixed-Level Data.” State Politics & Policy Quarterly 7 (4): 446–59..CrossRefGoogle Scholar
Raudenbush, Stephen W., and Bryk, Anthony S.. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods. 2nd ed. Thousand Oaks: SAGE.Google Scholar
Shipan, Charles R., and Volden, Craig. 2006. “Bottom-Up Federalism: The Diffusion of Antismoking Policies from U.S. Cities to States.” American Journal of Political Science 50 (4): 825–43..CrossRefGoogle Scholar
Simmons, Beth, Dobbins, Frank, and Garrett, Geoffrey, eds. 2008. The Global Diffusion of Markets and Democracy. Cambridge, MA: Cambridge University Press.CrossRefGoogle Scholar
Soule, Sarah A., and Earl, Jennifer. 2001. “The Enactment of State-Level Hate Crime Law in the United States: Intrastate and Interstate Factors.” Sociological Perspectives 44 (3): 281–305..CrossRefGoogle Scholar
Steenbergen, M. R., and S., Jones, B. 2002. Modeling Multilevel Data Structures. American Journal of political Science 46 (1): 218–37..CrossRefGoogle Scholar
Tribe, L. H. 1992. Abortion: The Clash of Absolutes. New York, NY: WW Norton & Company.Google Scholar
Volden, Craig. 2006. “States as Policy Laboratories: Emulating Successes in the Children's Health Insurance Program.” American Journal of Political Science 50 (2): 294–312..CrossRefGoogle Scholar
Walker, Jack L. 1969. “The Diffusion of Innovations among the American States.” American Political Science Review 63 (3): 880–99..CrossRefGoogle Scholar
Webster v. Reproductive Health Services 492 U.S. 490 (1989)Google Scholar
Wei, L. J., Lin, D. Y., and Weissfeld, L.. 1989. “Regression Analysis of Multivariate Incomplete Failure Time Data by Modeling Marginal Distributions.” Journal of the American Statistical Association 84:1065–73.CrossRefGoogle Scholar