Hierarchical Models for Employment Decisions
Joseph B. Kadane and George G. Woodworth
Revised December 2001
Federal 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 non-protected
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.
When decisions are made at one time, the proportional hazards model
reduces to the familiar doubly constrained hypergeometric model.
Keywords: Age Discrimination; Bayesian Analysis; Hierarchical Model;
Proportional Hazards Model
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