Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Rozdíl v rozdílech (Diff-in-Diff)× | Párování na základě skóre propensity× | |
|---|---|---|
| Obor≠ | Ekonometrie | Statistika ve výzkumu |
| Rodina≠ | Regression model | Process / pipeline |
| Rok vzniku≠ | 1994 | 1983 |
| Tvůrce≠ | Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment) | Paul Rosenbaum and Donald Rubin |
| Typ≠ | Causal inference / panel regression | Method |
| Původní zdroj≠ | 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. DOI ↗ |
| Další názvy | diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff) | PSM, propensity score weighting, covariate balance |
| Příbuzné≠ | 5 | 3 |
| Shrnutí≠ | 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. |
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