Intertemporal Correlation Aversion—A Model-Free Measurement

Kirsten I.M. Rohde*, Xiao Yu

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
7 Downloads (Pure)


Decisions with risky consequences at multiple points in time are driven not only by risk attitudes and time preferences but also by attitudes toward intertemporal correlation (i.e., the correlation between outcomes at different points in time). This paper proposes a model-free method to measure degrees of intertemporal correlation aversion. We disentangle attitudes toward positive and negative intertemporal correlation, which can differ if expected intertemporal utility is violated. In an experiment, subjects on average exhibited correlation aversion both for lotteries with positive correlation and for lotteries with negative correlation. That is, they disliked positive correlations and liked negative correlations. At the individual level, we found heterogeneity and remarkably, many subjects being insensitive to intertemporal correlations. Moreover, for most subjects, expected intertemporal utility was violated because attitudes toward positive and negative correlation differed.

Original languageEnglish
Pages (from-to)3493-3509
Number of pages17
JournalManagement Science
Issue number6
Publication statusPublished - Jun 2024

Bibliographical note

Publisher Copyright: Copyright: © 2023 INFORMS.


Dive into the research topics of 'Intertemporal Correlation Aversion—A Model-Free Measurement'. Together they form a unique fingerprint.

Cite this