Which covariates should be controlled in propensity score matching? Evidence from a simulation study

DOI10.1111/STAN.12000zbMATH Open1541.62353MaRDI QIDQ6552750

Nguyen Viet Cuong

Publication date: 10 June 2024

Published in: Statistica Neerlandica (Search for Journal in Brave)

zbMATH Keywords

Monte Carlotreatment effectpropensity score matchingcovariate selectionimpact evaluation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05)

Cites Work

• Does matching overcome LaLonde's critique of nonexperimental estimators?
• Propensity score modelling in observational studies using dimension reduction methods
• On the Failure of the Bootstrap for Matching Estimators
• The central role of the propensity score in observational studies for causal effects
• Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
• On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
• Characterizing Selection Bias Using Experimental Data
• Some Practical Issues in the Evaluation of Heterogeneous Labour Market Programmes by Matching Methods
• Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

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