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Panel Data Difference-in-Differences (Panel DiD / TWFE)×Propensity Score Matching×
FagfeltKausal inferensForskningsstatistikk
FamilieRegression modelProcess / pipeline
Opprinnelsesår1985–20041983
OpphavspersonAshenfelter & Card (1985); codified by Angrist & Pischke (2009); serial correlation critique by Bertrand, Duflo & Mullainathan (2004)Paul Rosenbaum and Donald Rubin
TypeCausal inference / panel regressionMethod
Opprinnelig kildeAngrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. DOI ↗
AliasTwo-Way Fixed Effects DiD, TWFE, Panel DiD, Panel Diff-in-DiffPSM, propensity score weighting, covariate balance
Relaterte43
SammendragPanel Data Difference-in-Differences extends the classic two-period DiD design to settings with multiple units observed across many time periods. By absorbing unit-level fixed effects and time fixed effects simultaneously, it isolates the causal effect of a treatment or policy change while controlling for both time-invariant unit heterogeneity and common time shocks affecting all units.Propensity score matching (PSM) is a method for reducing confounding bias in observational studies by balancing baseline characteristics between treatment groups, simulating randomization. Developed by Rosenbaum and Rubin (1983), it estimates the probability of receiving treatment given observed covariates, then matches or weights treated and control individuals with similar treatment probabilities. Widely used in medicine, epidemiology, and policy evaluation when randomized trials are infeasible or unethical, enabling estimation of treatment effects while controlling for selection bias.
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ScholarGateSammenlign metoder: Panel Data Difference-in-Differences · Propensity Score Matching. Hentet 2026-06-15 fra https://scholargate.app/no/compare