Sign-dependence in intertemporal choice
Mohammed Abdellaoui,
Han Bleichrodt and
Olivier l’Haridon ()
Authors registered in the RePEc Author Service: Olivier L'Haridon
Journal of Risk and Uncertainty, 2013, vol. 47, issue 3, 225-253
Abstract:
Allowing for sign-dependence in discounting substantially improves the description of people’s time preferences. The deviations from constant discounting that we observed were more pronounced for losses than for gains. Our data also suggest that the discount function should be flexible enough to allow for increasing impatience. These findings challenge the current practice in modeling intertemporal choice where sign-dependence is largely ignored and only decreasing impatience is allowed. Overall, the sign-dependent model of Loewenstein and Prelec ( 1992 ) with the constant sensitivity discount function of Ebert and Prelec ( 2007 ) provided the best fit to our data. Copyright Springer Science+Business Media New York 2013
Keywords: Intertemporal choice; sign-dependence; increasing impatience; D90 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11166-013-9181-9 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Sign-dependence in intertemporal choice (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jrisku:v:47:y:2013:i:3:p:225-253
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11166/PS2
DOI: 10.1007/s11166-013-9181-9
Access Statistics for this article
Journal of Risk and Uncertainty is currently edited by W. Kip Viscusi
More articles in Journal of Risk and Uncertainty from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().