Monopolistic Screening Under Mental Accounting: Applications to Loan Markets with Collateral
Kim Byung-Cheol ()
Additional contact information
Kim Byung-Cheol: Department of Economics, Finance and Legal Studies, Culverhouse College of Business, University of Alabama, 200 Alston Hall, Tuscaloosa, AL 35487, USA
Review of Network Economics, 2022, vol. 21, issue 3, 111-142
Abstract:
This paper extends the standard model of monopolistic screening to allow for some consumers who engage in narrow framing, a prominent behavioral bias of mental accounting. Narrow framing generates a bias toward high quality-price ratios, which induces even high-type consumers to choose a menu that targets low-type consumers. To strategically account for narrow framing, when the monopolist induces the high-type consumers to stay with the more expensive menu, there arises a downward quality distortion even at the top and a smaller downward distortion at the bottom. Then, we apply this model to optimal loan contracts to screen heterogeneous borrowers with different default risks. We find that the lender optimally reduces the collateral requirement for low-risk borrowers when some high-risk borrowers are subject to narrow framing. This result empirically implies that narrow framing may lead to smaller credit rationing and lower monitoring intensity in the lending markets.
Keywords: adverse selection; behavioral contract theory; collateral; narrow framing; non-linear price discrimination (search for similar items in EconPapers)
JEL-codes: A12 D03 D82 D86 G4 M31 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1515/rne-2023-0030 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:rneart:v:21:y:2022:i:3:p:111-142:n:1
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/rne/html
DOI: 10.1515/rne-2023-0030
Access Statistics for this article
Review of Network Economics is currently edited by Lukasz Grzybowski
More articles in Review of Network Economics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().