Optimal Antibiotic Usage with Resistance and Endogenous Technological Change
构建了一个包含异质性个体的期望效用模型，从社会规划者角度研究抗生素敏感性的最优跨期使用问题，并分析了内生技术变化和研发活动在确定性与不确定性下的动态。
The authors develop an expected utility model with heterogeneous individuals and apply some of the approaches developed in the energy literature to explicitly identify the public nature characteristics of susceptibility in a dynamic setting and to characterize the optimal intertemporal usage problem from a social planner perspective. The authors determine the optimal time path for the depletion of susceptibility to an existing drug and show that use of antibiotics should be rationed across the population and through time. The authors also discuss the impact of endogenous technological change and analyze the dynamics of research activities in backstop technologies both in a certain and in an uncertain world. The authors show that resources invested in R&D should increase through time if the discovery process is uncertain.