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How Much Is Minnesota Like Wisconsin? Assumptions and Counterfactuals in Causal Inference with Observational Data

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  • Keele, Luke
  • Minozzi, William

Abstract

Political scientists are often interested in estimating causal effects. Identification of causal estimates with observational data invariably requires strong untestable assumptions. Here, we outline a number of the assumptions used in the extant empirical literature. We argue that these assumptions require careful evaluation within the context of specific applications. To that end, we present an empirical case study on the effect of Election Day Registration (EDR) on turnout. We show how different identification assumptions lead to different answers, and that many of the standard assumptions used are implausible. Specifically, we show that EDR likely had negligible effects in the states of Minnesota and Wisconsin. We conclude with an argument for stronger research designs.

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  • Keele, Luke & Minozzi, William, 2013. "How Much Is Minnesota Like Wisconsin? Assumptions and Counterfactuals in Causal Inference with Observational Data," Political Analysis, Cambridge University Press, vol. 21(2), pages 193-216, April.
    • Handle: RePEc:cup:polals:v:21:y:2013:i:02:p:193-216_01
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    Cited by:

    1. Mark Owens, 2021. "Changes in attitudes, nothing remains quite the same: Absentee voting and public health," Social Science Quarterly, Southwestern Social Science Association, vol. 102(4), pages 1349-1360, July.
    2. Scott Gates & Mogens K. Justesen, 2020. "Political Trust, Shocks, and Accountability: Quasi-experimental Evidence from a Rebel Attack," Journal of Conflict Resolution, Peace Science Society (International), vol. 64(9), pages 1693-1723, October.
    3. Esterling, Kevin & Brady, David & Schwitzgebel, Eric, 2021. "The Necessity of Construct and External Validity for Generalized Causal Claims," OSF Preprints 2s8w5, Center for Open Science.
    4. Esterling, Kevin M. & Brady, David & Schwitzgebel, Eric, 2023. "The Necessity of Construct and External Validity for Generalized Causal Claims," I4R Discussion Paper Series 18, The Institute for Replication (I4R).
    5. Charron, Nicholas & Rothstein, Bo, 2016. "Does education lead to higher generalized trust? The importance of quality of government," International Journal of Educational Development, Elsevier, vol. 50(C), pages 59-73.
    6. Jähnen, Stefanie & Helbig, Marcel, 2015. "Der Einfluss schulrechtlicher Reformen auf Bildungsungleichheiten zwischen den deutschen Bundesländern: eine quasi-experimentelle Untersuchung am Beispiel der Verbindlichkeit von Übergangsempfehlungen," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 67(3), pages 539-571.

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