Methoden vergelijken

	Panel Data Matching Estimator	Panel Data Difference-in-Differences (Panel DiD / TWFE)
Vakgebied	Causale inferentie	Causale inferentie
Familie	Regression model	Regression model
Jaar van ontstaan	1997-2021	1985–2004
Grondlegger	Heckman, Ichimura & Todd (1997); Imai, Kim & Wang (2021) for panel extension	Ashenfelter & Card (1985); codified by Angrist & Pischke (2009); serial correlation critique by Bertrand, Duflo & Mullainathan (2004)
Type	Quasi-experimental causal estimator	Causal inference / panel regression
Oorspronkelijke bron	Heckman, J. J., Ichimura, H., & Todd, P. E. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. Review of Economic Studies, 64(4), 605-654.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Aliassen	panel matching, matching-on-panel-data, longitudinal matching estimator, PDME	Two-Way Fixed Effects DiD, TWFE, Panel DiD, Panel Diff-in-Diff
Verwant	6	4
Samenvatting	The panel data matching estimator identifies causal treatment effects by pairing each treated unit with one or more control units that share similar covariate histories in the pre-treatment periods. By exploiting the longitudinal structure of panel data, it controls for both observed time-varying confounders and stable unit characteristics, estimating the average treatment effect on the treated (ATT) without requiring a parallel-trends assumption.	Panel 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.