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Regression modelQuasi-experimental / causal inference

Panel Datamatchende Estimator

Panel datamatchende estimatorer identificerer kausale behandlingseffekter ved at parre hver behandlet enhed med en eller flere kontrolenheder, der deler lignende kovariat-historikker i perioderne før behandling. Ved at udnytte den longitudinelle struktur af paneldata kontrollerer den for både observerede tidsvarierende konfoundere og stabile enhedskarakteristika, og estimerer den gennemsnitlige behandlingseffekt på de behandlede (ATT) uden at kræve en parallel-trends antagelse.

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Kilder

  1. 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. DOI: 10.2307/2971733
  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

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ScholarGate. (2026, June 3). Panel Data Matching Estimator for Average Treatment Effects. ScholarGate. https://scholargate.app/da/causal-inference/panel-data-matching-estimator

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ScholarGatePanel Data Matching Estimator (Panel Data Matching Estimator for Average Treatment Effects). Hentet 2026-06-15 fra https://scholargate.app/da/causal-inference/panel-data-matching-estimator · Datasæt: https://doi.org/10.5281/zenodo.20539026