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Adventures in Policy Modeling!

机译:策略建模历险记!

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Summary form only given. Policy Modeling refers to the application of operations research, statistics, and other quantitative methods to model policy problems. Recognizing that analyses of all sorts often exhibit diminishing returns in insight to effort, the hope is to capture key features of various policy issues with relatively simple “first-strike” models. Problem selection and formulation thus compete with the mathematics of solution methods in determining successful applications: where do good problems come from? How can analysts tell if a particular issue is worth pursuing? In addressing these questions, I will review some personal adventures in policy modeling selected from public housing, HIV/AIDS prevention, bioterror preparedness, suicide bombings and counterterrorism, in vitro fertilization, predicting presidential elections, and sports.
机译:仅提供摘要表格。策略建模是指运用运筹学,统计和其他定量方法来建模策略问题。认识到各种分析通常会显示出对努力的洞察力递减,因此希望通过相对简单的“第一击”模型来捕捉各种政策问题的关键特征。因此,在选择成功的应用程序时,问题的选择和提法与解决方法的数学方法竞争:好的问题从何而来?分析师如何判断某个特定问题是否值得追求?在解决这些问题时,我将回顾一些政策模型方面的个人经历,这些模型选自公共住房,艾滋病毒/艾滋病预防,生物恐怖事件准备,自杀炸弹袭击和反恐,体外受精,预测总统选举和体育运动。

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