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arXiv · 2608.05444

A Costly-information Foundation for Psychometric Curves

Jake Zhang
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Abstract

We study a binary choice problem in which an agent chooses between two actions whose payoff depends on a continuous state. The agent chooses how much effort to invest in learning about the state. Equivalently, we can think of the state as the strength of a stimulus, with the agent exerting costly effort to be more responsive to it. Taking as given the Fisher information cost introduced by Hebert and Woodford (2021), we analyze the optimal state-dependent choice rule using a variational approach. The main result is that agents' optimal response is an S-shaped function of the state under mild conditions. This prediction is aligned with the widely documented psychometric curve response profile observed in the experimental literature in psychology and economics.

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Jake Zhang. 2026-08-05. A Costly-information Foundation for Psychometric Curves. https://arxiv.org/abs/2608.05444

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