The authors present a dynamic contracting model in which the principal and the agent disagree about the resolution of uncertainty, and they illustrate the contract design in an application with Bayesian learning. The disagreement creates gains from trade that the principal realizes by transferring payment to states that the agent considers relatively more likely, a shift that changes incentives. In their dynamic setting, the interaction between incentive provision and learning creates an intertemporal source of “disagreement risk” that alters optimal risk sharing. An endogenous regime shift between economies with small and large belief differences is present, and an early shock to beliefs can lead to large persistent differences in variable pay even after beliefs have converged. Under risk-neutrality, “selling the firm” to the agent does not implement the first-best outcome because it precludes state-contingent trades.
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Paper provided by Federal Reserve Bank of New York in its series Staff Reports with number
269.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Sendhil Mullainathan & Richard H. Thaler, 2000.
"Behavioral Economics,"
NBER Working Papers
7948, National Bureau of Economic Research, Inc.
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