Collaborative Research: A Search - Theoretic Approach to Markets

协作研究：市场搜索理论方法

• 批准号: 0922381
• 负责人: Alessandro Lizzeri
• 金额: $ 22.31万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-15 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0922381&HistoricalAwards=false
• 关键词: Collaborative; Research; Search; Theoretic; Approach

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)The sale and use of illegal drugs contributes to a wide range of societal problems, including crime and violence. Recognizing the scope of the problem, law enforcement officials have devoted substantial resources to interdiction, investigation, and prosecution. Scientific measurements of the effects of these efforts have fallen short. This project draws on recent advances in economics to develop and analyze a new model buyer and seller behavior in this market. This model builds upon empirical regularities that characterize interactions between drug buyers and sellers and then uses game theory to generate predictions. These hypotheses are empirically tested with data available from the Drug Enforcement Administration. The findings from this project are expected to inform government officials on the effectiveness of law enforcement initiatives designed to reduce the supply and demand for illegal drugs.

该奖项是根据2009年《美国复苏和再投资法》(第111-5号公法)资助的，非法毒品的销售和使用造成了广泛的社会问题，包括犯罪和暴力。认识到问题的严重性，执法人员已投入大量资源进行拦截、调查和起诉。对这些努力的影响的科学衡量还不够。这个项目利用经济学的最新进展来开发和分析这个市场中的买方和卖方行为的新模型。这个模型建立在描述药品买家和卖家之间互动的经验规则基础上，然后使用博弈论来产生预测。这些假说用美国药品监督管理局提供的数据进行了实证检验。预计该项目的调查结果将使政府官员了解旨在减少非法毒品供求的执法举措的有效性。