Costly State Verification with Varying Risk Preferences and Liability
Gaia Garino and
Peter Simmons
Journal of Economic Surveys, 2006, vol. 20, issue 1, 71-110
Abstract:
Abstract. In the scenario of loan contracts with costly state verification, we examine how the properties of the set of states, different risk preferences of debtors and varying liability of lenders affect the structure of optimal repayments. In particular, we show that with risk‐averse debtors, a general set of states, a constant observation cost and both unlimited and limited lender liability, the debtor is strictly better off revealing the true state of nature when his realized revenue is low, which implies that optimal debtor consumption has a downward jump around the single switch from observed to unobserved states. If the debtor can destroy revenue or if the debtor is risk neutral, this non‐monotonicity of consumption disappears. Moreover, given the loan size, there is more monitoring under debtor‐risk aversion than risk neutrality. We present simulations showing that a contract with unlimited lender liability and debtor‐risk aversion has a higher expected observation cost but a lower variance of consumption than a contract with limited lender liability. Finally, we discuss the problems of commitment to verification and contract renegotiation in this framework.
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.1111/j.0950-0804.2006.00276.x
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:bla:jecsur:v:20:y:2006:i:1:p:71-110
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0950-0804
Access Statistics for this article
More articles in Journal of Economic Surveys from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().