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handle: 10261/58681 , 10419/51648
We analyze a long-term contracting problem involving common uncertainty about a parameter capturing the productivity of the relationship, and featuring a hidden action for the agent. We develop an approach that works for any utility function when the parameter and noise are normally distributed and when the effort and noise affect output additively. We then analytically solve for the optimal contract when the agent has exponential utility. We find that the Pareto frontier shifts out as information about the agent’s quality improves. In the standard spot-market setup, by contrast, when the parameter measures the agent’s “quality”, the Pareto frontier shifts inwards with better information. Commitment is therefore more valuable when quality is known more precisely. Incentives then are easier to provide because the agent has less room to manipulate the beliefs of the principal. Moreover, in contrast to results under one-period commitment, wage volatility declines as experience accumulates.
Trabajo presentado al "12th CEPR European Summer Symposium in Labour Economics (ESSLE)" Munich 2010, al "Annual Meeting of the ASSET" Alicante 2010, al "XXXV Simposio de la Asociación Española de Economía" Madrid 2010, y al "SED Annual Meeting" Belgica 2011.
We acknowledge the support of the Kauffman Foundation and of the Barcelona GSE.
Peer Reviewed
learning, optimal contract, ddc:330, reputation, private information, D82, principal-agent model, optimal contract, learning, private information, reputation, career, D83, career, career; learning; optimal contract; principal-agent model; private information; reputation, jel:E24, E24, J41, principal-agent model, jel: jel:D82, jel: jel:D83, jel: jel:E24, jel: jel:J41, jel: jel:L14
learning, optimal contract, ddc:330, reputation, private information, D82, principal-agent model, optimal contract, learning, private information, reputation, career, D83, career, career; learning; optimal contract; principal-agent model; private information; reputation, jel:E24, E24, J41, principal-agent model, jel: jel:D82, jel: jel:D83, jel: jel:E24, jel: jel:J41, jel: jel:L14
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