Information Acquisition and Time-Risk Preference

Fuente: arXiv
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Hauptverfasser: Chen, Daniel, Zhong, Weijie
Format: Preprint
Veröffentlicht: 2018
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author Chen, Daniel
Zhong, Weijie
author_facet Chen, Daniel
Zhong, Weijie
contents An agent acquires information dynamically until her belief about a binary state reaches an upper or lower threshold. She can choose any signal process subject to a constraint on the rate of entropy reduction. Strategies are ordered by "time risk"-the dispersion of the distribution of threshold-hitting times. We construct a strategy maximizing time risk (Greedy Exploitation) and one minimizing it (Pure Accumulation). Under either strategy, beliefs follow a compensated Poisson process. In the former, beliefs jump to the threshold that is closer in Bregman divergence. In the latter, beliefs jump to the unique point with the same entropy as the current belief.
format Preprint
id arxiv_https___arxiv_org_abs_1809_05120
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Information Acquisition and Time-Risk Preference
Chen, Daniel
Zhong, Weijie
Theoretical Economics
An agent acquires information dynamically until her belief about a binary state reaches an upper or lower threshold. She can choose any signal process subject to a constraint on the rate of entropy reduction. Strategies are ordered by "time risk"-the dispersion of the distribution of threshold-hitting times. We construct a strategy maximizing time risk (Greedy Exploitation) and one minimizing it (Pure Accumulation). Under either strategy, beliefs follow a compensated Poisson process. In the former, beliefs jump to the threshold that is closer in Bregman divergence. In the latter, beliefs jump to the unique point with the same entropy as the current belief.
title Information Acquisition and Time-Risk Preference
topic Theoretical Economics
url https://arxiv.org/abs/1809.05120