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| Gender Gap Decomposition× | 分位数回归× | |
|---|---|---|
| 领域≠ | Gender Studies | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1973 | 1978 |
| 提出者≠ | Ronald Oaxaca & Alan Blinder | Koenker & Bassett |
| 类型≠ | Regression-based decomposition of a mean group difference | Conditional quantile regression |
| 开创性文献≠ | Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14(3), 693–709. DOI ↗ | Koenker, R. & Bassett, G., Jr. (1978). Regression Quantiles. Econometrica, 46(1), 33-50. DOI ↗ |
| 别名 | Oaxaca-Blinder Decomposition, Blinder-Oaxaca Decomposition, Wage Gap Decomposition | conditional quantile regression, regression quantiles, Kantil Regresyon |
| 相关≠ | 3 | 5 |
| 摘要≠ | Gender gap decomposition, most often implemented as the Oaxaca-Blinder decomposition, splits the mean difference in an outcome such as wages between men and women into a part explained by differences in measured characteristics (education, experience, occupation) and an unexplained residual part attributed to differences in how those characteristics are rewarded. Introduced independently by Ronald Oaxaca and Alan Blinder in 1973, it is the workhorse method for quantifying how much of the gender pay gap reflects composition versus differential treatment. | Quantile regression models conditional quantiles of an outcome - the median, the 25th or 75th percentile, and so on - rather than the conditional mean that OLS targets. Introduced by Koenker and Bassett in 1978, it reveals how predictors act across the whole distribution, including its tails. |
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