G.W. Harrison
Risk Attitudes, Sample Selection and Attrition in a Longitudinal Field Experiment
Harrison, G.W.; Lau, M.I; Yoo, H.I
Abstract
We evaluate the temporal stability of risk preferences using a remarkable data set that combines socio-demographic information from the Danish Civil Registry with information on risk attitudes from a longitudinal field experiment. Our econometric model accounts for endogenous sample selection and attrition processes that may confound inferences about temporal stability. Our experimental design builds in randomization on the incentives for participation that facilitates empirical identification of the model. In general, we find evidence consistent with temporal stability after correcting for the effects of selection and attrition. When neglected, these effects change our inferences in an economically and statistically significant manner.
Citation
Harrison, G., Lau, M., & Yoo, H. (2020). Risk Attitudes, Sample Selection and Attrition in a Longitudinal Field Experiment. The Review of Economics and Statistics, 102(3), 552-568. https://doi.org/10.1162/rest_a_00845
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 10, 2019 |
Online Publication Date | Jun 26, 2019 |
Publication Date | 2020-07 |
Deposit Date | May 1, 2019 |
Publicly Available Date | May 1, 2019 |
Journal | Review of Economics and Statistics |
Print ISSN | 0034-6535 |
Electronic ISSN | 1530-9142 |
Publisher | Massachusetts Institute of Technology Press |
Peer Reviewed | Peer Reviewed |
Volume | 102 |
Issue | 3 |
Pages | 552-568 |
DOI | https://doi.org/10.1162/rest_a_00845 |
Public URL | https://durham-repository.worktribe.com/output/1302789 |
Files
Published Journal Article
(5 Mb)
PDF
Accepted Journal Article
(1.8 Mb)
PDF
Copyright Statement
This article has been accepted for publication in Review of economics and statistics and the deposited file is the author’s final version.
You might also like
Prospect Theory and Mutual Fund Flows
(2021)
Journal Article
lclogit2: An enhanced command to fit latent class conditional logit models
(2020)
Journal Article
Stated preferences over job characteristics: a panel study
(2020)
Journal Article
vcemway: A one-stop solution for robust inference with multi-way clustering
(2019)
Journal Article
Temporal Stability of Cumulative Prospect Theory
(2019)
Book Chapter
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 © 2024
Advanced Search