Sticks or Carrots? Optimal CEO Compensation when Managers Are Loss Averse

This paper analyzes optimal executive compensation contracts when managers are loss averse. We calibrate a stylized principal‐agent model to the observed contracts of 595 CEOs and show that this model can explain observed option holdings and high base salaries remarkably well for a range of parameterizations. We also derive and calibrate the general shape of the optimal contract that is increasing and convex for medium and high outcomes and that drops discontinuously to the lowest possible payout for low outcomes. Finally, we identify the critical features of the loss‐aversion model that render optimal contracts convex.     

收入分配不平等对刑事犯罪的影响

本文利用1988—2006年中国省级面板数据,采用动态面板数据估计了收入分配不平等对刑事犯罪率的影响。研究发现,控制跨省人口迁徙、福利支出、失业率等因素并作相关的稳健性检验以后,以基尼系数度量的收入分配不平等上升1个百分点,刑事犯罪率将至少上升0.185个百分点,并且收入不平等程度不断上升会导致政府增加福利支出以降低刑事犯罪率;城市化会导致刑事犯罪率上升;提高人力资本水平和增加福利支出都会对遏制犯罪发挥重要影响。     

Limit Theorems for Estimating the Parameters of Differentiated Product Demand Systems

We provide an asymptotic distribution theory for a class of generalized method of moments estimators that arise in the study of differentiated product markets when the number of observations is associated with the number of products within a given market. We allow for three sources of error: sampling error in estimating market shares, simulation error in approximating the shares predicted by the model, and the underlying model error. It is shown that the estimators are CAN provided the size of the consumer sample and the number of simulation draws grow at a large enough rate relative to the number of products. We consider the implications of the results for the Berry, Levinsohn and Pakes (1995) random coefficient logit model and the pure characteristics model analysed in Berry and Pakes (2002) . The required rates differ for these two frequently used demand models. A small Monte Carlo study shows that the differences in asymptotic properties of the two models are reflected, in quite a striking way, in the models' small sample properties. Moreover the limit distributions provide a good approximation to the actual Monte Carlo distribution of the parameter estimates. The results have important implications for the computational burden of the two models.