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Regression modelQuasi-experimental / causal inference

Panel Data Coarsened Exact Matching

Panel Data Coarsened Exact Matching applies the Coarsened Exact Matching (CEM) algorithm to repeated-measures panel data, matching treated and control units within the same coarsened covariate strata across multiple time periods. It balances pre-treatment characteristics before estimating a causal treatment effect, combining the transparency of exact matching with the richer identification available in longitudinal datasets.

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Sources

  1. Iacus, S. M., King, G., & Porro, G. (2012). Causal Inference without Balance Checking: Coarsened Exact Matching. Political Analysis, 20(1), 1-24. DOI: 10.1093/pan/mpr013 ↗
  2. Imai, K., Kim, I. S., & Wang, E. H. (2021). Matching Methods for Causal Inference with Time-Series Cross-Sectional Data. American Journal of Political Science, 67(3), 587-605. DOI: 10.1111/ajps.12685 ↗

Related methods

Coarsened Exact MatchingDifference-in-DifferencesMatching EstimatorPanel Data Propensity Score MatchingPanel Fixed EffectsPropensity Score Matching

Referenced by

Multi-period Coarsened Exact Matching

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ScholarGate — Panel Data Coarsened Exact Matching (Panel Data Coarsened Exact Matching Estimator). Retrieved 2026-06-04 from https://scholargate.app/tr/causal-inference/panel-data-coarsened-exact-matching