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Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.

Beleidsevaluatie met Propensity Score Matching×Propensity Score Weighting (PSW / IPW)×
VakgebiedCausale inferentieCausale inferentie
FamilieRegression modelRegression model
Jaar van ontstaan1983; policy evaluation adaptation 19971983 (propensity score); 2003 (efficient IPW estimator)
GrondleggerRosenbaum & Rubin (1983); Heckman, Ichimura & Todd (1997) for program/policy evaluation applicationRosenbaum & Rubin (propensity score); Hirano, Imbens & Ridder (efficient weighting)
TypeQuasi-experimental matching estimatorCausal inference / reweighting
Oorspronkelijke bronRosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI ↗Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41-55. DOI ↗
AliassenPSM policy evaluation, policy PSM, propensity matching for program evaluation, PSM treatment evaluationPSW, inverse probability weighting, IPW, propensity-based weighting
Verwant66
SamenvattingPolicy evaluation propensity score matching applies the propensity score framework — originally developed by Rosenbaum and Rubin (1983) and operationalized for program evaluation by Heckman et al. (1997) — to estimate the causal effect of a policy intervention. It constructs a credible comparison group from non-participants by matching them to participants on their estimated probability of receiving the treatment, enabling unbiased effect estimation without random assignment.Propensity score weighting is a causal-inference method that reweights observations so that the covariate distributions of treated and untreated units look exchangeable, enabling unbiased estimation of average treatment effects from observational data. Each unit receives a weight that is the inverse of its probability of receiving the treatment it actually received — a strategy formalised by Rosenbaum and Rubin (1983) and given its efficient semiparametric form by Hirano, Imbens and Ridder (2003).
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  1. v1
  2. 2 Bronnen
  3. PUBLISHED

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ScholarGateMethoden vergelijken: Policy Evaluation Propensity Score Matching · Propensity Score Weighting. Geraadpleegd op 2026-06-19 via https://scholargate.app/nl/compare