Recursive Contracts and Endogenously Incomplete Markets

M. Golosov, A. Tsyvinski, N. Werquin

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Scopus citations

Abstract

In this chapter we study dynamic incentive models in which risk sharing is endogenously limited by the presence of informational or enforcement frictions. We comprehensively overview one of the most important tools for the analysis such problems—the theory of recursive contracts. Recursive formulations allow us to reduce often complex models to a sequence of essentially static problems that are easier to analyze both analytically and computationally. We first provide a self-contained treatment of the basic theory: the Revelation Principle, formulating and simplifying the incentive constraints, using promised utilities as state variables, and analyzing models with persistent shocks using the first-order approach. We then discuss more advanced topics: duality theory and Lagrange multiplier techniques, models with lack of commitment, and martingale methods in continuous time. Finally, we show how a variety of applications in public economics, corporate finance, development and international economics featuring incomplete risk sharing can be analyzed using the tools of the theory of recursive contracts.

Original languageEnglish (US)
Title of host publicationHandbook of Macroeconomics, 2016
EditorsJohn B. Taylor, Harald Uhlig
PublisherElsevier B.V.
Pages725-841
Number of pages117
ISBN (Print)9780444594877
DOIs
StatePublished - 2016

Publication series

NameHandbook of Macroeconomics
Volume2
ISSN (Print)1574-0048

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics
  • Economics, Econometrics and Finance (miscellaneous)

Keywords

  • Continuous time contracts
  • Dynamic mechanism design
  • First-order approach
  • Hidden storage
  • Incomplete markets
  • Lagrangian
  • Limited commitment
  • Principal–agent model
  • Private information
  • Promised utility
  • Recursive contracts
  • Revelation Principle

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