Módszerek összehasonlítása

	Paneladatok Propensity Score Matching (PSM)	A különbség-különbségek (Diff-in-Diff) módszer
Tudományterület	Oksági következtetés	Ökonometria
Módszercsalád	Regression model	Regression model
Keletkezés éve	1997-1998	1994
Megalkotó	Heckman, Ichimura & Todd	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
Típus	Matching / causal inference	Causal inference / panel regression
Alapmű	Heckman, J. J., Ichimura, H., & Todd, P. (1998). Matching as an Econometric Evaluation Estimator. Review of Economic Studies, 65(2), 261-294.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Alternatív nevek	PSM with panel data, longitudinal PSM, panel PSM, difference-in-differences PSM	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Kapcsolódó	6	5
Összefoglaló	Panel data propensity score matching combines the bias-reduction of PSM with the longitudinal structure of panel data, enabling causal estimation of treatment effects by matching treated and control units on observable pre-treatment characteristics and then differencing within matched pairs over time. Developed in the framework of Heckman, Ichimura, and Todd (1998), it is especially valuable when randomisation is infeasible and both selection on observables and time-varying confounding must be addressed simultaneously.	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.