关键词: 支持向量回归机, 效用函数, 逆向选择, 激励合约

Abstract: A SVR-based quantitative calculation method was proposed, so that the relevant theory of incentive contract could be analyzed quantitatively and be put into practical use. Being able to calculate quantitatively, the Support Vector Regression (SVR) was used to express the utility function. Based on that, the gradient expression of adverse selection model was derived for both good natural condition and bad condition, and that of adverse selection model was also derived for both high efficient Agent and low efficient Agent, respectively. Then, the relevant gradient descent algorithm was given. Using the proposed method, the two adverse selection incentive contract models above were quantitatively analyzed, and the effects of varying parameters on the changing trends of adverse selection model equilibriums were observed. The reasonable results show that it is feasible to solve adverse selection incentive contract model using the SVR-based quantitative calculation method.

Key words: Support Vector Regression (SVR), utility function, adverse selection, incentive contract