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تقدير مضاعف المتانة متعدد الفترات×Dynamic Difference-in-Differences×
المجالالاستدلال السببيالاستدلال السببي
العائلةRegression modelRegression model
سنة النشأة1994-20212021
صاحب الطريقةRobins, Rotnitzky, and Zhao; extended by Bang & Robins (2005) and Callaway & Sant'Anna (2021)Callaway & Sant'Anna; Sun & Abraham
النوعSemiparametric causal estimatorCausal inference / quasi-experimental
المصدر التأسيسيBang, H., & Robins, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics, 61(4), 962-973. DOI ↗Callaway, B., & Sant'Anna, P. H. C. (2021). Difference-in-differences with multiple time periods. Journal of Econometrics, 225(2), 200-230. DOI ↗
الأسماء البديلةlongitudinal DR estimation, multi-period DR, multi-wave doubly robust, sequential doubly robust estimationDynamic DiD, Staggered DiD, Event-time DiD, Heterogeneous-timing DiD
ذات صلة64
الملخصMulti-period doubly robust (DR) estimation extends the classic doubly robust approach to longitudinal settings with multiple treatment periods and time points. It combines an outcome regression model and a propensity score model for each period, retaining consistency of the causal effect estimate as long as at least one of the two models is correctly specified at every time point.Dynamic Difference-in-Differences extends the classic DiD framework to settings where units adopt treatment at different times. Rather than collapsing all variation into a single 2x2 comparison, it estimates group-time average treatment effects for each adoption cohort at each calendar period, then aggregates them into interpretable summaries of the causal effect over event time.
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  1. v1
  2. 2 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Multi-period Doubly Robust Estimation · Dynamic Difference-in-Differences. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare