Self Selection and market power in risk sharing contracts
Kislaya Prasad and
Tim Salmon
Journal of Economic Behavior & Organization, 2013, vol. 90, issue C, 71-86
Abstract:
Although the theory of optimal contracts and the principal agent model are now well established in the literature, empirical support for this theory has been mixed at best. We use economic experiments to test contract theory and assess the empirical relevance of two possible confounding factors that may explain why the theory has not received stronger empirical support. First, parameters of interest may be biased if agents self-select into projects with differing risk profiles based on risk preferences. Second, differing levels of market power on either side of the market could shift contract terms in ways contrary to theoretical predictions. In general, we find support for classical contract theory augmented to accommodate market power and self-selection based on risk preferences. We also find evidence for a third confound in the form of the characteristics of agents not party to the transaction affecting the terms of the contract.
Keywords: Incentive contracts; Principal–agent model; Self-selection; Market power; Experiments (search for similar items in EconPapers)
JEL-codes: C90 D86 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167268113000401
Full text for ScienceDirect subscribers only
Related works:
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:eee:jeborg:v:90:y:2013:i:c:p:71-86
DOI: 10.1016/j.jebo.2013.03.007
Access Statistics for this article
Journal of Economic Behavior & Organization is currently edited by Houser, D. and Puzzello, D.
More articles in Journal of Economic Behavior & Organization from Elsevier
Bibliographic data for series maintained by Catherine Liu ().