Arbeitspapier

Optimal Stopping in a Dynamic Salience Model

While many puzzles in static choices under risk can be explained by a preference for positive and an aversion toward negative skewness, little is known about the implications of such skewness preferences for decision making in dynamic problems. Indeed, skewness preferences might play an even bigger role in dynamic environments because, even if the underlying stochastic process is symmetric, the agent can endogenously create a skewed distribution of returns through the choice of her stopping strategy. Guided by salience theory, we theoretically and experimentally analyze the implications of skewness preferences for optimal stopping problems. We find strong support for all salience-based predictions in a laboratory experiment, and we verify that salience theory coherently explains skewness preferences revealed in static and dynamic decisions. Based on these findings we conclude that the static salience model—unlike (static) cumulative prospect theory—can be reasonably applied to dynamic decision problems. Our results have important implications for common optimal stopping problems such as when to sell an asset, when to stop gambling, when to enter the job market or to retire, and when to stop searching for a house or a spouse.

Language
Englisch

Bibliographic citation
Series: CESifo Working Paper ; No. 8496

Classification
Wirtschaft
Microeconomic Behavior: Underlying Principles
Criteria for Decision-Making under Risk and Uncertainty
Micro-Based Behavioral Economics: General‡
Subject
salience theory
prospect theory
skewness preferences
behavioural stopping

Event
Geistige Schöpfung
(who)
Dertwinkel-Kalt, Markus
Frey, Jonas
Köster, Mats
Event
Veröffentlichung
(who)
Center for Economic Studies and Ifo Institute (CESifo)
(where)
Munich
(when)
2020

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Dertwinkel-Kalt, Markus
  • Frey, Jonas
  • Köster, Mats
  • Center for Economic Studies and Ifo Institute (CESifo)

Time of origin

  • 2020

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