演講者簡介 : 蘇哲霖教授為Ph.D. in Operations Research，Stanford University (2005)。
現為Post-Doctoral Research Fellow，Northwestern University。
其主要研究領域為Optimization and Equilibrium Programming及Hierarchical Decision Models。
現正申請本所研究職務中。
演講摘要 : We study computational aspects of moral-hazard problems. In particular, we consider deterministic contracts as well as contracts with action and/or compensation lotteries, and formulate each case as a mathematical program with equilibrium constraints. We investigate and compare solution properties of the MPEC approach to that of the linear programming (LP) approach with lotteries. We propose a hybrid procedure that combines the best features of both. The hybrid procedure obtains a solution that is, if not global, at least as good as an LP solution. It also preserves the fast local convergence property by applying an SQP algorithm to MPECs. The numerical results on an example show that the hybrid procedure outperforms the LP approach in both computational time and solution quality in terms of the optimal objective value.
