Intertemporal Choice Experiments and Large-Stakes Behavior
Diego Aycinena,
Szabolcs Blazsek,
Lucas Rentschler and
Charles Sprenger
Additional contact information
Charles Sprenger: California Institute of Technology
Working Papers from Chapman University, Economic Science Institute
Abstract:
Intertemporal choice experiments are increasingly implemented to make inference about discounting and marginal utility, yet little is known about the predictive power of resulting measures. This project links standard experimental choices to a decision on the desire to smooth a large-stakes payment — around 10% of annual income — through time. In a sample of around 400 Guatemalan Conditional Cash Transfer recipients, we find that preferences over large-stakes payment plans are closely predicted by experimental measures of patience and diminishing marginal utility. These represent the first findings in the literature on the predictive content of such experimentally elicited measures of discounting and marginal utility for a large-stakes decision.
Keywords: Structural estimation; Out-of-sample prediction; Discounting; Convex Time Budget (search for similar items in EconPapers)
JEL-codes: D1 D3 D90 (search for similar items in EconPapers)
Date: 2020
New Economics Papers: this item is included in nep-dcm, nep-exp and nep-upt
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://digitalcommons.chapman.edu/esi_working_papers/331/
Related works:
Journal Article: Intertemporal choice experiments and large-stakes behavior (2022) 
Working Paper: Intertemporal Choice Experiments and Large-Stakes Behavior (2020) 
Working Paper: Intertemporal Choice Experiments and Large-Stakes Behavior (2019) 
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:chu:wpaper:20-36
Access Statistics for this paper
More papers in Working Papers from Chapman University, Economic Science Institute Contact information at EDIRC.
Bibliographic data for series maintained by Megan Luetje ().