Ranking Performance Measures in Multi-Task Agencies

Peter Ove Christensen, Florin Sabac, Joyce Tian

Research output: Working paperResearch

Abstract

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.
Original languageEnglish
PublisherSSRN: Social Science Research Network
Publication statusPublished - 2009
Externally publishedYes

Cite this

Christensen, P. O., Sabac, F., & Tian, J. (2009). Ranking Performance Measures in Multi-Task Agencies. SSRN: Social Science Research Network. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1578815