Quantile structural treatment effects: application to smoking wage penalty and its determinants

DOI10.1080/07474938.2020.1770994zbMath1490.62450OpenAlexW3036314827MaRDI QIDQ5861042

Tsung-Chih Lai, Yu-Chin Hsu, Kamhon Kan

Publication date: 4 March 2022

Published in: Econometric Reviews (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474938.2020.1770994

zbMATH Keywords

uniform inferenceheterogeneous treatment effectquantile structural functionsmoking wage penalty

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric estimation (62G05) Statistical methods; economic indices and measures (91B82)

Cites Work

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• Efficient Semiparametric Estimation of Quantile Treatment Effects
• Inverse probability weighted estimation for general missing data problems
• Estimation and inference for distribution functions and quantile functions in treatment effect models
• Incorporating covariates in the measurement of welfare and inequality: methods and applications
• Dealing with limited overlap in estimation of average treatment effects
• Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
• The central role of the propensity score in observational studies for causal effects
• Endogeneity in Semiparametric Binary Response Models
• An IV Model of Quantile Treatment Effects
• Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score

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