Regression modelQuasi-experimental / causal inference

Multi-period Matching Estimator

The multi-period matching estimator extends the standard matching framework to settings with multiple time periods, pairing each treated unit to similar untreated units based on pre-treatment covariates or propensity scores, then using within-pair before-after differences to estimate the average treatment effect on the treated (ATT). Leveraging repeated observations, it simultaneously controls for observed confounders and time-invariant unobserved heterogeneity.

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Sources

  1. Abadie, A. (2005). Semiparametric Difference-in-Differences Estimators. Review of Economic Studies, 72(1), 1-19. DOI: 10.1111/0034-6527.00321
  2. Imbens, G. W., & Wooldridge, J. M. (2009). Recent Developments in the Econometrics of Program Evaluation. Journal of Economic Literature, 47(1), 5-86. DOI: 10.1257/jel.47.1.5

Related methods

ScholarGateMulti-period Matching Estimator (Multi-period Matching Estimator for Panel Data). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/multi-period-matching-estimator