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Višeperiodna dvostruko robustna procena×Razlika u razlikama (Diff-in-Diff)×
OblastKauzalno zaključivanjeEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1994-20211994
TvoracRobins, Rotnitzky, and Zhao; extended by Bang & Robins (2005) and Callaway & Sant'Anna (2021)Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipSemiparametric causal estimatorCausal inference / panel regression
Temeljni izvorBang, H., & Robins, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics, 61(4), 962-973. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Drugi nazivilongitudinal DR estimation, multi-period DR, multi-wave doubly robust, sequential doubly robust estimationdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Srodne65
SažetakMulti-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.Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.
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ScholarGateUporedite metode: Multi-period Doubly Robust Estimation · Difference-in-Differences. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare