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Using Computational Methods To Perform Counterfactual Analyses Of Formal Theories

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  • Andrew D. Martin
  • Kevin M. Quinn

Abstract

Recently there has been an increase in the number of researchers who use rational choice models to explain single cases and rare events. Because of the small number of cases under study, these researchers must rely either explicitly or implicitly on counterfactual reasoning. This paper argues that computational methods provide a profitable means of carrying out rigorous counterfactual analysis. The authors advocate robustness analysis as one important part of the counterfactual analysis of formal theories. Specifically, they evaluate the robustness of the behavioral assumptions of two formal models using various heuristic search algorithms and Markov chains. They find that Kuran's (1989) threshold model of mass protest and Ingberman's (1985) model of direct-democracy referenda are robust to perturbations in their behavioral assumptions. These findings increase the plausibility of causal claims made by scholars who use these models to explain specific events.

Suggested Citation

  • Andrew D. Martin & Kevin M. Quinn, 1996. "Using Computational Methods To Perform Counterfactual Analyses Of Formal Theories," Rationality and Society, , vol. 8(3), pages 295-323, August.
    • Handle: RePEc:sae:ratsoc:v:8:y:1996:i:3:p:295-323
    DOI: 10.1177/104346396008003004
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    References listed on IDEAS

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    1. Timur Kuran, 1989. "Sparks and prairie fires: A theory of unanticipated political revolution," Public Choice, Springer, vol. 61(1), pages 41-74, April.
    2. Daniel Ingberman, 1985. "Running against the status quo: Institutions for direct democracy referenda and allocations over time," Public Choice, Springer, vol. 46(1), pages 19-43, January.
    3. Lippman, Steven A. & Mamer, John W. & McCardle, Kevin F., 1987. "Comparative statics in non-cooperative games via transfinitely iterated play," Journal of Economic Theory, Elsevier, vol. 41(2), pages 288-303, April.
    4. Thomas Romer & Howard Rosenthal, 1978. "Political resource allocation, controlled agendas, and the status quo," Public Choice, Springer, vol. 33(4), pages 27-43, December.
    5. Hausman,Daniel M., 1992. "The Inexact and Separate Science of Economics," Cambridge Books, Cambridge University Press, number 9780521415019, December.
    6. Andreoni, J. & Miller, J.H., 1990. "Auctions With Adaptive Artificially Intelligent Agents," Working papers 90-32, Wisconsin Madison - Social Systems.
    7. Hausman,Daniel M., 1992. "The Inexact and Separate Science of Economics," Cambridge Books, Cambridge University Press, number 9780521425230, December.
    8. Kollman, Ken & Miller, John H. & Page, Scott E., 1992. "Adaptive Parties in Spatial Elections," American Political Science Review, Cambridge University Press, vol. 86(4), pages 929-937, December.
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