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Relative performance evaluation in a multi-plant firm
Authors:Annalisa Luporini
Institution:(1) Department of Economics, University of Florence, via delle Pandette 9, 50127 Firenze, ITALY
Abstract:Summary. We analyze optimal compensation schedules for the directors of two plants belonging to the same owner and producing the same good but serving geographically differentiated markets. Since the outcome of each director depends on his own effort and on a random variable representing market conditions, the problem takes the form of a principal multi-agent model. We first provide appropriate extensions of the MLR and CDF conditions that ensure the validity of the first-order approach in the single agent case. Then, we show that affiliation of the random variables is a necessary and sufficient condition for the compensation of one director to negatively and monotonically depend on the performance of the other.Received: 23 July 2004, Revised: 18 February 2005, JEL Classification Numbers: D23, D82.I thank Ray Rees and an anonimous referee for helpuful comments and suggestions. Support from CES (Center for Economic Studies), University of Munich is gratefully aknowledged.
Keywords:Principal-agent problems  Relative performance evaluation  First-order approach  Monotone likelihood ratio  Affiliation  
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