Comparar métodos

	Emparejamiento por Puntuación de Propensión con Datos de Panel	Diferencia en Diferencias (Diff-in-Diff)
Campo	Inferencia causal	Econometría
Familia	Regression model	Regression model
Año de origen	1997-1998	1994
Autor original	Heckman, Ichimura & Todd	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
Tipo	Matching / causal inference	Causal inference / panel regression
Fuente seminal	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
Alias	PSM with panel data, longitudinal PSM, panel PSM, difference-in-differences PSM	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionados	6	5
Resumen	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.