Journal ArticleDOI
Quantile regression, Box-Cox transformation model, and the U.S. wage structure, 1963–1987
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This paper examined changes in the increments (returns) to education and experience at different points of the wage distribution and examined within-group wage inequality, showing that inequality increased differentially for all skill groups.About:
This article is published in Journal of Econometrics.The article was published on 1995-01-01. It has received 159 citations till now. The article focuses on the topics: Wage & Quantile regression.read more
Citations
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Journal ArticleDOI
Counterfactual decomposition of changes in wage distributions using quantile regression
José A. F. Machado,José Mata +1 more
TL;DR: In this paper, the authors proposed a method to decompose the changes in the wage distribution over a period of time in several factors contributing to those changes, such as changes in characteristics of the working population and changes in returns to these characteristics.
Journal ArticleDOI
Quantile regression: applications and current research areas
Keming Yu,Zudi Lu,Julian Stander +2 more
TL;DR: Quantile regression offers a more complete statistical model than mean regression and now has widespread applications as mentioned in this paper and provides a review of this technique and discusses some typical application areas, as well as various approaches to estimation.
Journal ArticleDOI
The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators
Stephen Portnoy,Roger Koenker +1 more
TL;DR: In this article, interior point methods were combined with a new statistical preprocessing approach for quantile regression in order to obtain a 10- to 100-fold improvement in computational speeds over current (simplex-based) $\ell_1$-algorithms in large problems.
Journal ArticleDOI
Estimating effects of limiting factors with regression quantiles
TL;DR: The authors proposed regression quantiles, which extend the concept of one-sample quantiles to the linear model by solving an optimization problem and provide estimates for linear models fit to any part of a response distribution, including near the upper bounds.
Journal ArticleDOI
Decomposition of differences in distribution using quantile regression
TL;DR: In this paper, a flexible, intuitive and semiparametric estimator of distribution functions in the presence of covariates is proposed, and the conditional distribution is integrated over the range of the covariates to obtain an estimate of the unconditional distribution.
References
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Journal ArticleDOI
An Analysis of Transformations
George E. P. Box,David Cox +1 more
TL;DR: In this article, Lindley et al. make the less restrictive assumption that such a normal, homoscedastic, linear model is appropriate after some suitable transformation has been applied to the y's.
Book
Schooling, Experience, and Earnings
TL;DR: In this article, the authors analyzed the distribution of worker earnings across workers and over the working age as consequences of differential investments in human capital and developed the human capital earnings function, an econometric tool for assessing rates of return and other investment parameters.
The behavior of maximum likelihood estimates under nonstandard conditions
TL;DR: In this paper, the authors prove consistency and asymptotic normality of maximum likelihood estimators under weaker conditions than usual, such that the true distribution underlying the observations belongs to the parametric family defining the estimator, and the regularity conditions do not involve the second and higher derivatives of the likelihood function.
Journal ArticleDOI
Changes in Relative Wages, 1963–1987: Supply and Demand Factors
Lawrence F. Katz,Kevin M. Murphy +1 more
TL;DR: A simple supply and demand framework is used to analyze changes in the U.S. wage structure from 1963 to 1987 as discussed by the authors, showing that rapid secular growth in the demand for more-educated workers, "more-skilled" workers, and females appears to be the driving force behind observed changes in wage structure.
Journal ArticleDOI
The Jackknife: The Bootstrap and Other Resampling Plans.
Leone Y. Low,Bradley Efron +1 more
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