ScholarGate
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Regression modelQuasi-experimental / causal inference

Estimator for matching

Estimator for matching identificerer den kausale effekt af en behandling ved at parre hver behandlet enhed med en eller flere ubehandlede enheder, der har lignende observerede karakteristika. Formaliseret af Rubin (1973) og med stringent stikprøveteori for store stikprøver af Abadie og Imbens (2006), konstruerer den en troværdig kontrolgruppe ud fra observationsdata uden at kræve en parametrisk model for udfaldet.

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Kilder

  1. Abadie, A., & Imbens, G. W. (2006). Large Sample Properties of Matching Estimators for Average Treatment Effects. Econometrica, 74(1), 235-267. DOI: 10.1111/j.1468-0262.2006.00655.x
  2. Rubin, D. B. (1973). Matching to Remove Bias in Observational Studies. Biometrics, 29(1), 159-183. DOI: 10.2307/2529684

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

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