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Estimating slim-majority effects in US state legislatures with a regression discontinuity design under local randomization assumptions

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  • De Magalhães, Leandro

Abstract

Regression discontinuity design could be a valuable tool for identifying causal effects of a given party holding a legislative majority. However, the variable “number of seats” takes a finite number of values rather than a continuum and, hence, it is not suited as a running variable. Recent econometric advances suggest the necessary assumptions and empirical tests that allow us to interpret small intervals around the cut-off as local randomized experiments. These permit us to bypass the assumption that the running variable must be continuous. Herein, we implement these tests for US state legislatures and propose another: whether a slim-majority of one seat had at least one state-level district result that was itself a close race won by the majority party.

Suggested Citation

  • De Magalhães, Leandro, 2021. "Estimating slim-majority effects in US state legislatures with a regression discontinuity design under local randomization assumptions," Political Science Research and Methods, Cambridge University Press, vol. 9(3), pages 665-674, July.
    • Handle: RePEc:cup:pscirm:v:9:y:2021:i:3:p:665-674_16
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    1. repec:wly:soecon:v:82:2:y:2015:p:598-619 is not listed on IDEAS
    2. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
    3. Olle Folke, 2014. "Shades Of Brown And Green: Party Effects In Proportional Election Systems," Journal of the European Economic Association, European Economic Association, vol. 12(5), pages 1361-1395, October.
    4. Michal Kolesár & Christoph Rothe, 2018. "Inference in Regression Discontinuity Designs with a Discrete Running Variable," American Economic Review, American Economic Association, vol. 108(8), pages 2277-2304, August.
    5. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    6. Feigenbaum, James J. & Fouirnaies, Alexander & Hall, Andrew B., 2017. "The Majority-Party Disadvantage: Revising Theories of Legislative Organization," Quarterly Journal of Political Science, now publishers, vol. 12(3), pages 269-300, October.
    7. Burt S. Barnow & Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez‐Bare, 2017. "Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(3), pages 643-681, June.
    8. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    9. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
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