Conditional independence in a binary choice experiment
Nathaniel Wilcox
Journal of Risk and Uncertainty, 2024, vol. 68, issue 3, No 1, 205-225
Abstract:
Abstract Experimental and behavioral economists, as well as psychologists, commonly assume conditional independence of choices when constructing likelihood functions for structural estimation of choice functions. I test this assumption using data from a new experiment designed for this purpose. Within the limits of the experiment’s identifying restriction and designed power to detect deviations from conditional independence, conditional independence is not rejected. In naturally occurring data, concerns about violations of conditional independence are certainly proper and well-taken (for well-known reasons). However, when an experimenter employs the particular experimental mechanisms and designs used here, the findings suggest that conditional independence is an acceptable assumption for analyzing data so generated.
Keywords: Alternation; Conditional independence; Choice under risk; Discrete choice; Persistence; Random problem selection; C22; C25; C91; D81 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11166-024-09431-9 Abstract (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Conditional Independence in a Binary Choice Experiment (2024) 
Working Paper: Conditional Independence in a Binary Choice Experiment (2018) 
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:68:y:2024:i:3:d:10.1007_s11166-024-09431-9
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11166/PS2
DOI: 10.1007/s11166-024-09431-9
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 ().