Efficient candidate screening under multiple tests and implications for fairness.
Abstract
When recruiting job candidates, employers rarely observe their underlying skill level directly. Instead, they must administer a series of interviews and/or collate other noisy signals in order to estimate the worker's skill. Traditional economics papers address screening models where employers access worker skill via a single noisy signal. In this paper, we extend this theoretical analysis to a multi-test setting, considering both Bernoulli and...
Paper Details
Title
Efficient candidate screening under multiple tests and implications for fairness.
Published Date
May 27, 2019
Journal
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Notes
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