Identification and estimation of unconditional policy effects of an endogenous binary treatment: an unconditional MTE approach

DOI10.1016/J.JECONOM.2024.105858MaRDI QIDQ6664635

Julián Martínez-Iriarte, Yixiao Sun

Publication date: 16 January 2025

Published in: Journal of Econometrics (Search for Journal in Brave)

zbMATH Keywords

instrumental variablemarginal treatment effectselection modelunconditional quantile regressionunconditional policy effectmarginal policy-relevant treatment effect

Mathematics Subject Classification ID

Statistics (62-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Cites Work

• Unconditional Quantile Regressions
• Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality
• Identification of unconditional partial effects in nonseparable models
• Asymptotic variance of semiparametric estimators with generated regressors
• Partial distributional policy effects
• Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
• The Asymptotic Variance of Semiparametric Estimators
• Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin
• Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
• Unconditional quantile regression with high‐dimensional data
• Unconditional effects of general policy interventions
• Estimation and inference for policy relevant treatment effects
• Identification and estimation of triangular models with a binary treatment

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