S. Andersen
Eliciting risk and time preferences
Andersen, S.; Harrison, G.W.; Lau, M.I.; Rutstrom, E.E.
Abstract
We design experiments to jointly elicit risk and time preferences for the adult Danish population. Since subjects are generally risk averse, we find that joint elicitation provides estimates of discount rates that are significantly lower than those found in previous studies and more in line with what would be considered as a priori reasonable rates. The statistical specification relies on a theoretical framework that involves a latent trade-off between long-run optimization and short-run temptation. Estimation of this specification is undertaken using structural, maximum likelihood methods. Our main results based on exponential discounting are robust to alternative specifications such as hyperbolic discounting. These results have direct implications for attempts to elicit time preferences, as well as debates over the appropriate domain of the utility function when characterizing risk aversion and time consistency.
Citation
Andersen, S., Harrison, G., Lau, M., & Rutstrom, E. (2008). Eliciting risk and time preferences. Econometrica, 76(3), 583-618. https://doi.org/10.1111/j.1468-0262.2008.00848.x
Journal Article Type | Article |
---|---|
Publication Date | May 1, 2008 |
Deposit Date | Nov 1, 2010 |
Journal | Econometrica |
Print ISSN | 0012-9682 |
Electronic ISSN | 1468-0262 |
Publisher | Econometric Society |
Peer Reviewed | Peer Reviewed |
Volume | 76 |
Issue | 3 |
Pages | 583-618 |
DOI | https://doi.org/10.1111/j.1468-0262.2008.00848.x |
Keywords | Discount rate, Risk aversion, Field experiment. |
Public URL | https://durham-repository.worktribe.com/output/1556028 |
You might also like
The Risk of Gambling Problems in the General Population: A Reconsideration
(2019)
Journal Article
Temporal Stability of Cumulative Prospect Theory
(2019)
Book Chapter
Risk Attitudes, Sample Selection and Attrition in a Longitudinal Field Experiment
(2019)
Journal Article
Multiattribute Utility Theory, Intertemporal Utility and Correlation Aversion
(2018)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search