A Duality Approach to Continuous-Time Contracting Problems with Limited Commitment
Yuzhe Zhang () and
Jianjun Miao
No 650, 2014 Meeting Papers from Society for Economic Dynamics
Abstract:
We propose a duality approach to solving contracting models with either one-sided or two-sided limited commitment in continuous time. We establish weak and strong duality theorems and provide a dynamic programming characterization of the dual problem. The dual problem gives a linear Hamilton-Jacobi-Bellman equation with a known state space subject to free-boundary conditions, making analysis much more tractable than the primal problem. We provide two explicitly solved examples of a consumption insurance problem. We characterize the optimal consumption allocation in terms of the marginal utility ratio. We find that neither autarky nor full risk sharing can be an optimal contract with two-sided limited commitment, unlike in discrete-time models. We also derive an explicit solution for the unique long-run stationary distribution of consumption relative to income.
Date: 2014
New Economics Papers: this item is included in nep-dge, nep-mic and nep-upt
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://red-files-public.s3.amazonaws.com/meetpapers/2014/paper_650.pdf (application/pdf)
Related works:
Journal Article: A duality approach to continuous-time contracting problems with limited commitment (2015) 
Working Paper: A Duality Approach to Continuous- Time Contracting Problems with Limited Commitment (2013) 
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:red:sed014:650
Access Statistics for this paper
More papers in 2014 Meeting Papers from Society for Economic Dynamics Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christian Zimmermann ().