Pandora's Box Reopened: Robust Search and Choice Overload

Fuente: arXiv
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Main Authors: Auster, Sarah, Che, Yeon-Koo
Format: Preprint
Published: 2025
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author Auster, Sarah
Che, Yeon-Koo
author_facet Auster, Sarah
Che, Yeon-Koo
contents This paper revisits the classic Pandora's box problem, studying a decision-maker (DM) who seeks to minimize her maximal ex-post regret. The DM decides how many options to explore and in what order, before choosing one or taking an outside option. We characterize the regret-minimizing search rule and show that the likelihood of opting out often increases as more options become available for exploration. We show that this ``choice overload" is driven by the DM's fear of ``selection error" -- the regret from searching the wrong options -- suggesting that steering choice via recommendations or cost heterogeneity can mitigate regret and encourage search.
format Preprint
id arxiv_https___arxiv_org_abs_2512_21192
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Pandora's Box Reopened: Robust Search and Choice Overload
Auster, Sarah
Che, Yeon-Koo
Theoretical Economics
This paper revisits the classic Pandora's box problem, studying a decision-maker (DM) who seeks to minimize her maximal ex-post regret. The DM decides how many options to explore and in what order, before choosing one or taking an outside option. We characterize the regret-minimizing search rule and show that the likelihood of opting out often increases as more options become available for exploration. We show that this ``choice overload" is driven by the DM's fear of ``selection error" -- the regret from searching the wrong options -- suggesting that steering choice via recommendations or cost heterogeneity can mitigate regret and encourage search.
title Pandora's Box Reopened: Robust Search and Choice Overload
topic Theoretical Economics
url https://arxiv.org/abs/2512.21192