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Causes, theories, and the past in political science

Author

Listed:
  • Sanford C. Gordon

    (New York University)

  • Hannah K. Simpson

    (Texas A&M University)

Abstract

A theoretically grounded approach to causal questions illuminates both the utility and limitations of the potential outcomes (PO) framework as a model for historically-focused, quantitative empirical research. While some causal questions are immediately reconcilable with the PO framework, for others, theoretical guidance is valuable in ascertaining relevant comparisons or characterizing the generalizability of findings to different contexts. A third category of important causal relationships feature strategic or information-based interactions, or multiple or unobservable mechanisms, many of which cannot be directly tested using the PO framework. Here, theory is critical in elucidating additional, observable implications that may be tested empirically. In all three categories, historical research promises special benefits: it expands the set of cases on which to test causal claims, may provide counterfactuals not available in contemporary contexts, and can feature institutional transformations that function as plausibly exogenous modifier variables. We clarify this classification of causal questions using examples from our own historical research.

Suggested Citation

  • Sanford C. Gordon & Hannah K. Simpson, 2020. "Causes, theories, and the past in political science," Public Choice, Springer, vol. 185(3), pages 315-333, December.
  • Handle: RePEc:kap:pubcho:v:185:y:2020:i:3:d:10.1007_s11127-019-00703-6
    DOI: 10.1007/s11127-019-00703-6
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    References listed on IDEAS

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    1. Gregory A. Huber & Sanford C. Gordon, 2004. "Accountability and Coercion: Is Justice Blind when It Runs for Office?," American Journal of Political Science, John Wiley & Sons, vol. 48(2), pages 247-263, April.
    2. Sarah F. Anzia & Christopher R. Berry, 2011. "The Jackie (and Jill) Robinson Effect: Why Do Congresswomen Outperform Congressmen?," American Journal of Political Science, John Wiley & Sons, vol. 55(3), pages 478-493, July.
    3. Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
    4. James Feigenbaum & James Lee & Filippo Mezzanotti, 2022. "Capital Destruction and Economic Growth: The Effects of Sherman's March, 1850–1920," American Economic Journal: Applied Economics, American Economic Association, vol. 14(4), pages 301-342, October.
    5. Gordon, Sanford C., 2009. "Assessing Partisan Bias in Federal Public Corruption Prosecutions," American Political Science Review, Cambridge University Press, vol. 103(4), pages 534-554, November.
    6. Sean Gailmard & Jeffery A. Jenkins, 2009. "Agency Problems, the 17th Amendment, and Representation in the Senate," American Journal of Political Science, John Wiley & Sons, vol. 53(2), pages 324-342, April.
    7. Sekhon, Jasjeet S. & Titiunik, Rocío, 2012. "When Natural Experiments Are Neither Natural nor Experiments," American Political Science Review, Cambridge University Press, vol. 106(1), pages 35-57, February.
    8. Gordon, Sanford C. & Simpson, Hannah K., 2018. "The Birth of Pork: Local Appropriations in America’s First Century," American Political Science Review, Cambridge University Press, vol. 112(3), pages 564-579, August.
    9. Hirano, Shigeo & Snyder, James M. & Ansolabehere, Stephen & Hansen, John Mark, 2010. "Primary Elections and Partisan Polarization in the U.S. Congress," Quarterly Journal of Political Science, now publishers, vol. 5(2), pages 169-191, August.
    10. David S. Lee & Enrico Moretti & Matthew J. Butler, 2004. "Do Voters Affect or Elect Policies? Evidence from the U. S. House," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(3), pages 807-859.
    11. Donald B. Rubin, 2005. "Causal Inference Using Potential Outcomes: Design, Modeling, Decisions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 322-331, March.
    12. Hirano,Shigeo & Snyder, Jr,James M., 2019. "Primary Elections in the United States," Cambridge Books, Cambridge University Press, number 9781107080591, September.
    13. Hirano,Shigeo & Snyder, Jr,James M., 2019. "Primary Elections in the United States," Cambridge Books, Cambridge University Press, number 9781107440159, September.
    14. Gordon, Sanford C. & Huber, Gregory A., 2007. "The Effect of Electoral Competitiveness on Incumbent Behavior," Quarterly Journal of Political Science, now publishers, vol. 2(2), pages 107-138, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Causal inference; Quantitative historical analysis; Generalizability; Counterfactuals; Mechanisms;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • N41 - Economic History - - Government, War, Law, International Relations, and Regulation - - - U.S.; Canada: Pre-1913
    • N43 - Economic History - - Government, War, Law, International Relations, and Regulation - - - Europe: Pre-1913

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