QUANTILE REGRESSION, BOX-COX TRANSFORMATION MODEL, AND THE US WAGE STRUCTURE, 1963-1987

被引:86
作者
BUCHINSKY, M
机构
[1] Department of Economics, Yale University, New Haven
关键词
QUANTILE REGRESSION; BOX-COX TRANSFORMATION; INCREMENTS TO EDUCATION AND EXPERIENCE; WAGE INEQUALITY;
D O I
10.1016/0304-4076(94)01599-U
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study examines changes in the increments ('returns') to education and experience at different points of the wage distribution. It also examines changes in within-group wage inequality. Newly developed quantile regression techniques are applied to the Box-Cox transformation model using the Current Population Survey data. The increments differ, but they changed in similar pattern at different points of the wage distribution. They are larger at the low end of the distribution for the less skilled workers, and larger at the high end for the more skilled workers. Wage inequality increased differentially for all skill groups. These increases result mainly from a longer tail at the lower end of the wage distributions.
引用
收藏
页码:109 / 154
页数:46
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