Abstract

Berninghaus (1986) investigated the optimal policy in a job-search problem with ‘belated information’, where jobs contain nonpecuniary components that can be observed only after the job has been tested for one period. Berninghaus uses techniques of dynamic programming, specifically the Gittens index, to derive conditions under which a reservation-wage policy is optimal for this problem. We demonstrate that the Gittens index has a simple economic interpretation when the pecuniary and nonpecuniary returns are jointly normally distributed. The reservation-wage policy is optimal in this case if the returns are either positively correlated or weakly negatively correlated.

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