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Nonparametric Identification of Causal Effects under Temporal Dependence

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  • Allan Dafoe

Abstract

Social scientists routinely address temporal dependence by adopting a simple technical fix. However, the correct identification strategy for a causal effect depends on causal assumptions. These need to be explicated and justified; almost no studies do so. This article addresses this shortcoming by offering a precise general statement of the (nonparametric) causal assumptions required to identify causal effects under temporal dependence. In particular, this article clarifies when one should condition or not condition on lagged dependent variables (LDVs) to identify causal effects: one should not condition on LDVs, if there is no reverse causation and no outcome autocausation; one should condition on LDVs if there are no unobserved common causes of treatment and the lagged outcome, or no unobserved persistent causes of the outcome. When only one of these is true (with one exception), the incorrect decision will induce bias. Absent a well-justified identification strategy, inferences should be appropriately qualified.

Suggested Citation

  • Allan Dafoe, 2018. "Nonparametric Identification of Causal Effects under Temporal Dependence," Sociological Methods & Research, , vol. 47(2), pages 136-168, March.
  • Handle: RePEc:sae:somere:v:47:y:2018:i:2:p:136-168
    DOI: 10.1177/0049124115613784
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    References listed on IDEAS

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    1. Box-Steffensmeier, Janet M. & De Boef, Suzanna & Joyce, Kyle A., 2007. "Event Dependence and Heterogeneity in Duration Models: The Conditional Frailty Model," Political Analysis, Cambridge University Press, vol. 15(3), pages 237-256, July.
    2. Wilson, Sven E. & Butler, Daniel M., 2007. "A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications," Political Analysis, Cambridge University Press, vol. 15(2), pages 101-123, April.
    3. Keele, Luke & Kelly, Nathan J., 2006. "Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables," Political Analysis, Cambridge University Press, vol. 14(2), pages 186-205, April.
    4. Thoemmes Felix, 2015. "M-bias, Butterfly Bias, and Butterfly Bias with Correlated Causes – A Comment on Ding and Miratrix (2015)," Journal of Causal Inference, De Gruyter, vol. 3(2), pages 253-258, September.
    5. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    6. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    7. Franzese, Robert J. & Hays, Jude C., 2007. "Spatial Econometric Models of Cross-Sectional Interdependence in Political Science Panel and Time-Series-Cross-Section Data," Political Analysis, Cambridge University Press, vol. 15(2), pages 140-164, April.
    8. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    9. Keele, Luke, 2010. "Proportionally Difficult: Testing for Nonproportional Hazards in Cox Models," Political Analysis, Cambridge University Press, vol. 18(2), pages 189-205, April.
    10. Blackwell, Matthew, 2014. "A Selection Bias Approach to Sensitivity Analysis for Causal Effects," Political Analysis, Cambridge University Press, vol. 22(2), pages 169-182, April.
    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. Matthew Blackwell, 2013. "A Framework for Dynamic Causal Inference in Political Science," American Journal of Political Science, John Wiley & Sons, vol. 57(2), pages 504-520, April.
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