Data and Code for: Dynamic Regret Avoidance

Principal Investigator(s):  View help for Principal Investigator(s) Michele Fioretti, Sciences Po; Alexander Vostroknutov, Maastricht University; Giorgio Coricelli, University of Southern California

Version:  View help for Version V1

Name File Type Size Last Modified
  DRA_Rcode 06/01/2021 06:10:AM
  datapreparation 06/01/2021 08:54:AM
  reduced-form-analysis 04/09/2021 10:38:AM
  ztreecode 01/12/2021 05:09:AM
README.txt text/plain 11.5 KB 06/01/2021 04:52:AM
rawdata.zip application/zip 468.8 MB 04/02/2021 04:01:AM

Project Citation: 

Fioretti, Michele, Vostroknutov, Alexander, and Coricelli, Giorgio. Data and Code for: Dynamic Regret Avoidance. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-01-25. https://doi.org/10.3886/E130441V1

Project Description

Summary:  View help for Summary In a stock market experiment we examine how regret avoidance influences the decision to sell an asset while its price changes over time. Participants know beforehand whether they will observe the future prices after they sell the asset or not. Without future prices participants are affected only by regret about previously observed high prices (past regret), but, when future prices are available, they also avoid regret about expected after-sale high prices (future regret). Moreover, as the relative sizes of past and future regret change, participants dynamically switch between them. This demonstrates how multiple reference points dynamically influence sales.
Funding Sources:  View help for Funding Sources European Research Council (617629)

Scope of Project

JEL Classification:  View help for JEL Classification
      C91 Design of Experiments: Laboratory, Individual
      D91 Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making


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Published Versions

V1 [2022-01-25]

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