Tests for distributional treatment effects under unconfoundedness

DOI10.1016/j.econlet.2010.10.009zbMath1204.91096OpenAlexW2027112476MaRDI QIDQ621724

Michael Maier

Publication date: 28 January 2011

Published in: Economics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.econlet.2010.10.009

zbMATH Keywords

Kolmogorov-Smirnov testunconfoundednessdistributional treatment effectseconometric evaluation

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Related Items (2)

A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS ⋮ Estimation and inference for distribution functions and quantile functions in treatment effect models

Cites Work

• Efficient Semiparametric Estimation of Quantile Treatment Effects
• Instrumental quantile regression inference for structural and treatment effect models
• Weak convergence and empirical processes. With applications to statistics
• Non-Parametric Tests for Distributional Treatment Effect for Randomly Censored Responses
• Matching As An Econometric Evaluation Estimator
• Asymptotic Statistics
• Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models
• Probability for Statisticians
• Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
• Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

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