Hierarchical Models for Employment Decisions
针对长期就业决策中的歧视测量问题，提出使用分层比例风险模型（Cox回归）来分析数据，替代传统的汇总统计方法。
AbstractFederal law prohibits discrimination in employment decisions against persons in certain protected categories. The common method for measuring discrimination involves a comparison of some aggregate statistic for protected and nonprotected individuals. This approach is open to question when employment decisions are made over an extended time period. We show how to use hierarchical proportional hazards models (Cox regression models) to analyze such data.KEY WORDS: Age discriminationBayesian analysisHierarchical modelProportional hazards modelSmoothness prior