Department of Economics and Institute for Policy Research, Northwestern University, Evanston, IL 60208, USA.
Proc Natl Acad Sci U S A. 2010 Mar 2;107(9):3953-60. doi: 10.1073/pnas.0915009107. Epub 2010 Feb 16.
Economists studying public policy have generally assumed that the relevant planner knows how policy affects population behavior. Planners typically do not possess all of this knowledge, so there is reason to consider policy formation with partial knowledge of policy impacts. Here I consider choice of a vaccination policy when a planner has partial knowledge of the effect of vaccination on illness rates. To begin, I pose a planning problem whose objective is to minimize the utilitarian social cost of illness and vaccination. The consequences of candidate vaccination rates depend on the extent to which vaccination prevents illness. I study the planning problem when the planner has partial knowledge of the external-response function, which expresses how the illness rate of unvaccinated persons varies with the vaccination rate. I suppose that the planner observes the illness rate of a study population whose vaccination rate has been chosen previously. He knows that the illness rate of unvaccinated persons weakly decreases as the vaccination rate increases, but he does not know the magnitude of the preventive effect of vaccination. In this setting, I first show how the planner can eliminate dominated vaccination rates and then how he can use the minimax or minimax-regret criterion to choose an undominated vaccination rate.
研究公共政策的经济学家通常假设相关规划者了解政策对人口行为的影响。规划者通常并不拥有所有这些知识,因此有理由考虑在对政策影响有部分了解的情况下制定政策。在这里,当规划者对疫苗接种对疾病发病率的影响只有部分了解时,我考虑了疫苗接种政策的选择。首先,我提出了一个规划问题,其目标是使疾病和疫苗接种的社会总成本的功利最小化。候选疫苗接种率的后果取决于疫苗接种预防疾病的程度。当规划者对外部反应函数(表示未接种疫苗者的发病率如何随疫苗接种率而变化)只有部分了解时,我研究了这个规划问题。他观察到先前选择了疫苗接种率的研究人群的发病率。他知道,随着疫苗接种率的增加,未接种疫苗者的发病率会微弱下降,但他不知道疫苗接种的预防效果的大小。在这种情况下,我首先展示了规划者如何消除占主导地位的疫苗接种率,然后展示了他如何使用极大极小或极小极大遗憾准则来选择不受支配的疫苗接种率。