Agency Theory Meets Matching Theory
David Pérez-Castrillo and
Ines Macho-Stadler
Authors registered in the RePEc Author Service: David Perez-Castrillo
No 1140, Working Papers from Barcelona School of Economics
Abstract:
The theory of incentives and matching theory can complement each other. In particular, matching theory can be a tool for analyzing optimal incentive contracts within a general equilibrium framework. We propose several models that study the endogenous payoffs of principals and agents as a function of the characteristics of all the market participants, as well as the joint attributes of the principal-agent pairs that partner in equilibrium. Moreover, considering each principal-agent relationship as part of a market may strongly influence our assessment of how the characteristics of the principal and the agent affect the optimal incentive contract. Finally, we discuss the effect of the existence of moral hazard on the nature of the matching between principals and agents that we may observe at equilibrium, compared to the matching that would happen if incentive concerns were absent.
Keywords: contracts; matching; moral hazard; incentives (search for similar items in EconPapers)
JEL-codes: C78 D03 D86 (search for similar items in EconPapers)
Date: 2020-01
New Economics Papers: this item is included in nep-cta, nep-des, nep-gth, nep-hrm and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://bw.bse.eu/wp-content/uploads/2020/01/1140-file.pdf (application/pdf)
Related works:
Journal Article: Agency theory meets matching theory (2021) 
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:bge:wpaper:1140
Access Statistics for this paper
More papers in Working Papers from Barcelona School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Bruno Guallar (bruno.guallar@bse.eu).