Dynamic Contracting with Persistent Shocks
Yuzhe Zhang ()
MPRA Paper from University Library of Munich, Germany
Abstract:
In this paper, we develop continuous-time methods for solving dynamic principal-agent problems in which the agent's privately observed productivity shocks are persistent over time. We characterize the optimal contract as the solution to a system of ordinary differential equations and show that, under this contract, the agent's utility converges to its lower bound|immiserization occurs. Unlike under risk-neutrality, the wedge between the marginal rate of transformation and a low-productivity agent's marginal rate of substitution between consumption and leisure will not vanish permanently at her first high-productivity report; also, the wedge increases with the duration of a low-productivity report. We apply the methods to numerically solve the Mirrleesian dynamic taxation model, and find that the wedge is significantly larger than that in the independently and identically distributed (i.i.d.) shock case.
Keywords: Persistent Information; Principal-agent Problem; Private Information; Optimal Taxation (search for similar items in EconPapers)
JEL-codes: D80 D82 E61 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)
Published in Journal of Economic Theory 2.144(2009): pp. 635-675
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/23108/1/MPRA_paper_23108.pdf original version (application/pdf)
Related works:
Journal Article: Dynamic contracting with persistent shocks (2009) 
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:pra:mprapa:23108
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().