Counterfactual distributions of wages via quantile regression with endogeneity

DOI10.1016/j.csda.2012.02.024zbMath1255.62117OpenAlexW2054178695MaRDI QIDQ1927105

Yanyan Li

Publication date: 30 December 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2011-25.pdf

zbMATH Keywords

endogeneityquantile regressionwage inequalitycounterfactual decomposition

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Exact distribution theory in statistics (62E15)

Cites Work

• Unnamed Item
• Quantile regression methods for recursive structural equation models
• Endogeneity in quantile regression models: a control function approach
• Instrumental quantile regression inference for structural and treatment effect models
• Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality
• Absolute penalty and shrinkage estimation in partially linear models
• Nonparametric estimates of regression quantiles and their local Bahadur representation
• Flexible estimation of wage distributions in the presence of covariates
• The Changing Distribution of Male Wages in the U.K.
• Local Linear Quantile Regression
• Robust Tests for Heteroscedasticity Based on Regression Quantiles
• Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression
• EFFICIENT SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR QUANTILE REGRESSION MODEL
• Nonparametric Estimation of Triangular Simultaneous Equations Models
• An IV Model of Quantile Treatment Effects
• Identification in Nonseparable Models
• Quantiles for Counts