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| Content Provider | Springer Nature Link |
|---|---|
| Author | Hörner, Johannes Samuelson, Larry |
| Copyright Year | 2015 |
| Abstract | We study a discrete-time model of repeated moral hazard without commitment. In every period, a principal finances a project, choosing the scale of the project and a contingent payment plan for an agent, who has the opportunity to appropriate the returns of a successful project unbeknownst the principal. The absence of commitment is reflected both in the solution concept (perfect Bayesian equilibrium) and in the ability of the principal to freely revise the project’s scale from one period to the next. We show that removing commitment from the equilibrium concept is relatively innocuous—if the players are sufficiently patient, there are equilibria with payoffs low enough to effectively endow the players with the requisite commitment, within the confines of perfect Bayesian equilibrium. In contrast, the frictionless choice of scale has a significant effect on the project’s dynamics. Starting from the principal’s favorite equilibrium, the optimal contract eventually converges to the repetition of the stage-game Nash equilibrium, operating the project at maximum scale and compensating the agent (only) via immediate payments. |
| Starting Page | 89 |
| Ending Page | 136 |
| Page Count | 48 |
| File Format | |
| ISSN | 00207276 |
| Journal | International Journal of Game Theory |
| Volume Number | 45 |
| Issue Number | 1-2 |
| e-ISSN | 14321270 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-09-02 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Dynamic moral hazard Commitment Asymmetric information Principal-agent Cash flow diversion Economic Theory/Quantitative Economics/Mathematical Methods Game Theory, Economics, Social and Behav. Sciences Behavioral/Experimental Economics Operation Research/Decision Theory |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Social Sciences Economics and Econometrics Statistics, Probability and Uncertainty |
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