Regression modelQuasi-experimental / causal inference

Multi-period Coarsened Exact Matching

Multi-period Coarsened Exact Matching (multi-period CEM) extends the CEM framework of Iacus, King, and Porro to longitudinal data with multiple pre- and post-treatment periods. It bins continuous covariates into coarsened categories, matches treated and control units that fall into the same cells across all relevant time periods, and then estimates a weighted average treatment effect that accounts for temporal structure.

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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

ScholarGateMulti-period Coarsened Exact Matching (Multi-period Coarsened Exact Matching Estimator). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/multi-period-coarsened-exact-matching