Comparer des méthodes

	Différence-en-différences (Diff-in-Diff)	Appariement par score de propension
Domaine	Économétrie	Statistiques de recherche
Famille	Regression model	Process / pipeline
Année d'origine	1994	1983
Auteur d'origine	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)	Paul Rosenbaum and Donald Rubin
Type	Causal inference / panel regression	Method
Source fondatrice	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355	Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55.
Alias	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)	PSM, propensity score weighting, covariate balance
Apparentées	5	3
Résumé	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.	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.