Quantile regression, Box-Cox transformation model and the U.S. wage structure, 1963--1987

DOI10.1016/0304-4076(94)01599-UzbMath0825.62956OpenAlexW2066709835MaRDI QIDQ1343135

Moshe Buchinsky

Publication date: 1 February 1995

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

Full work available at URL: https://doi.org/10.1016/0304-4076(94)01599-u

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Mathematical economics (91B99) Statistical methods; economic indices and measures (91B82)

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Cites Work

• Unnamed Item
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• Asymmetric Least Squares Estimation and Testing
• Least absolute deviations estimation for the censored regression model
• Censored regression quantiles
• Bootstrapping regression models
• Adaptive \(L\)-estimation for linear models
• Estimating the asymptotic covariance matrix for quantile regression models. A Monte Carlo study
• Robust Tests for Heteroscedasticity Based on Regression Quantiles
• Some Estimation Methods for a Random Coefficient Model
• One-Step Huber Estimates in the Linear Model
• Regression Quantiles
• Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression
• Some Estimators for a Linear Model with Random Coefficients
• An Improved Algorithm for Discrete $l_1 $ Linear Approximation