EFFICIENT LIABILITY IN EXPERT MARKETS
Yongmin Chen,
Jianpei Li and
Jin Zhang
International Economic Review, 2022, vol. 63, issue 4, 1717-1744
Abstract:
When providing professional services, an expert may misbehave by either prescribing “wrong” treatment for consumer's problem or failing to exert proper effort to diagnose it. We show that under a range of liabilities the expert will recommend the appropriate treatment based on his private information if markups for alternative treatments are close enough; however, a well‐designed liability rule is essential for also motivating efficient diagnosis effort. We further demonstrate that unfettered price competition between experts may undermine the efficient role of liability, whereas either a minimum‐price constraint or an obligation‐to‐serve requirement can restore it.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://doi.org/10.1111/iere.12598
Related works:
Working Paper: Efficient Liability in Expert Markets (2022) 
Working Paper: Efficient Liability in Expert Markets (2020) 
Working Paper: Efficient Liability in Expert Markets (2020) 
Working Paper: Efficient Liability in Expert Markets (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:wly:iecrev:v:63:y:2022:i:4:p:1717-1744
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0020-6598
Access Statistics for this article
International Economic Review is currently edited by Michael O'Riordan and Dirk Krueger
More articles in International Economic Review from Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association 160 McNeil Building, 3718 Locust Walk, Philadelphia, PA 19104-6297. Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().