Tractability in incentive contracting

Tractability in incentive contracting
Alex Edmans, Alex Edmans
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Last edited by MARC Bot
October 29, 2020 | History

Tractability in incentive contracting

"This paper identifies a class of multiperiod agency problems in which the optimal contract is tractable (attainable in closed form). By modeling the noise before the action in each period, we force the contract to provide sufficient incentives state-by-state, rather than merely on average. This tightly constrains the set of admissible contracts and allows for a simple solution to the contracting problem. Our results continue to hold in continuous time, where noise and actions are simultaneous. We thus extend the tractable contracts of Holmstrom and Milgrom (1987) to settings that do not require exponential utility, a pecuniary cost of effort, Gaussian noise or continuous time. The contract's functional form is independent of the noise distribution. Moreover, if the cost of effort is pecuniary (multiplicative), the contract is linear (log-linear) in output and its slope is independent of the noise distribution, utility function and reservation utility. In a two-stage contracting game, the optimal target action depends on the costs and benefits of the environment, but is independent of the noise realization. "--National Bureau of Economic Research web site.

Publish Date
Language
English

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Edition Availability
Cover of: Tractability in incentive contracting
Tractability in incentive contracting
2009, National Bureau of Economic Research
Electronic resource in English

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Book Details


Edition Notes

Title from PDF file as viewed on 12/1/2009.

Includes bibliographical references.

Also available in print.

System requirements: Adobe Acrobat Reader.

Mode of access: World Wide Web.

Published in
Cambridge, MA
Series
NBER working paper series -- working paper 15545., Working paper series (National Bureau of Economic Research : Online) -- working paper no. 15545.

Classifications

Library of Congress
HB1

The Physical Object

Format
Electronic resource

ID Numbers

Open Library
OL23969255M
LCCN
2009656095

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October 29, 2020 Edited by MARC Bot import existing book
February 11, 2019 Created by MARC Bot import existing book