A nonparametric decomposition of the Mexican American average wage gap
A nonparametric decomposition of the Mexican American average wage gap
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墨西哥裔美国人平均工资差距的非参数分解
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Ricardo Mora
中科院分区：
文献类型：
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作者：
Ricardo Mora
本文证明了任意两组工人之间的平均工资差距分解可以使用非参数工资结构进行。它还提出了一种算法来纠正非参数模型中被称为树结构的样本选择。本文研究了西南地区第三代墨西哥裔美国人和非西班牙裔白人工人之间的工资差距。研究表明，分解在很大程度上依赖于功能假设，并且不同的灵活性方法可能会产生足够好的和相似的结果版权©2008 John Wiley & Sons， Ltd。
This paper shows that average wage gap decompositions between any two groups of workers can be carried out using nonparametric wage structures. It also proposes an algorithm to correct for sample selection in nonparametric models known as tree structures. This paper studies the wage gap between third-generation Mexican American and non-Hispanic white workers in the southwest. It is shown that the decomposition heavily depends on functional assumptions, and that different aproaches to flexibility may render sufficiently good and similar results Copyright © 2008 John Wiley & Sons, Ltd.