Gender Wage Discrimination Bias? A Meta-Regression Analysis
通过元回归分析，系统回顾了性别工资歧视的实证文献，发现估计的性别工资差距在稳步下降，且工资率计算方式至关重要；研究者若遗漏经验或未纠正选择偏差，容易产生较大偏差；此外，性别研究本身也存在显著的性别偏差，但研究者倾向于补偿其性别身份带来的潜在偏差。
This study provides a quantitative review of the empirical literature on gender wage discrimination. Although there is considerable agreement that gender wage discrimination exists, estimates of its magnitude vary widely. Our meta-regression analysis (MRA) reveals that the estimated gender gap has been steadily declining and the wage rate calculation to be crucial. Large biases are likely when researchers omit experience or fail to correct for selection bias. Finally, there appears to be significant gender bias in gender research. However, it is a virtuous variety where researchers tend to compensate for potential bias implicit in their gender membership.