Artikel

Discrete-time dynamic principal-agent models: Contraction mapping theorem and computational treatment

We consider discrete-time dynamic principal-agent problems with continuous choice sets and potentially multiple agents. We prove the existence of a unique solution for the principal's value function only assuming continuity of the functions and compactness of the choice sets. We do this by a contraction mapping theorem and so also obtain a convergence result for the value function iteration. To numerically compute a solution for the problem, we have to solve a collection of static principal-agent problems at each iteration. As a result, in the discrete-time setting solving the static problem is the difficult step. If the agent's expected utility is a rational function of his action, then we can transform the bi-level optimization problem into a standard nonlinear program. The final results of our solution method are numerical approximations of the policy and value functions for the dynamic principal-agent model. We illustrate our solution method by solving variations of two prominent social planning models from the economics literature.

Sprache
Englisch

Erschienen in
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 11 ; Year: 2020 ; Issue: 4 ; Pages: 1215-1251 ; New Haven, CT: The Econometric Society

Klassifikation
Wirtschaft
Computational Techniques; Simulation Modeling
Information, Knowledge, and Uncertainty: General
Asymmetric and Private Information; Mechanism Design
Thema
Optimal unemployment tax
principal-agent model
repeated moral hazard

Ereignis
Geistige Schöpfung
(wer)
Renner, Philipp
Schmedders, Karl
Ereignis
Veröffentlichung
(wer)
The Econometric Society
(wo)
New Haven, CT
(wann)
2020

DOI
doi:10.3982/QE960
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Renner, Philipp
  • Schmedders, Karl
  • The Econometric Society

Entstanden

  • 2020

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