Ranking Performance Measures in Multi-Task Agencies
The Accounting Review, Forthcoming
Posted: 31 Mar 2010
Date Written: December 9, 2009
We derive sufficient conditions for ranking performance evaluation systems in multi-task agency models (using both optimal and linear contracts) in terms of a second-order stochastic dominance (SSD) condition on the likelihood ratios. The SSD condition can be replaced by a variance-covariance matrix of likelihood ratios (VCM) condition when the utility function is square-root, the performance measures are normally distributed, and for LEN models. We identify existing results derived under the LEN assumptions that rely on the VCM condition and, thus, also hold for optimal contracts.
Keywords: Likelihood ratios, Multiple tasks, LEN
JEL Classification: M46
Suggested Citation: Suggested Citation