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We study a game between job applicants who incur a cost (relative to the job value) to reveal their type during interviews and an administrator who seeks to maximize the probability of hiring the best. We define a full learning equilibrium and prove its existence, uniqueness, and optimality. In equilibrium, the administrator accepts the current best applicant with probability if and with probability 1 if for a threshold independent of . In contrast to the case without cost, where the success probability converges to as tends to infinity, with cost the success probability decays like .

生成讲解博客的中文版本

生成AI智能校验的中文版本