Collaborative Research: Transparency and Misspecification in Structural Estimation

合作研究：结构估计中的透明度和错误指定

• 批准号: 1949066
• 负责人: Matthew Gentzkow
• 金额: $ 20万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949066&HistoricalAwards=false
• 关键词: Collaborative; Research; Transparency; Misspecification; Structural

Much economic research seeks to combine economic theory and statistical modeling to derivepolicy-relevant conclusions from data. The transparency of this process—whether the intendedaudience can understand the evidence behind the conclusions as well as the conclusionsthemselves—is crucial to the success of policy relevant research. This project will develop a framework for understanding the process through which the results were achieved, as well as the communication of scientific findings to a diverse audience, apply the framework to important problems in applied economics, and study how economists can reach more stable policy-relevant conclusions from data that does not change with minor changes in data or methodology. The research has three projects: a study of scientific communication, a definition and measurement of transparency, and a project that focuses on how to achieve transparency in economics research. The results of this research will lead to more efficient and reliable policy relevant economics research. It also will result in more trust in economic policy research as well as the development better policies.The project will study transparency in scientific research. The research consists of three projects: The first project will use economic theory and statistical decision theory to propose and develop a model of scientific communication and contrast its implications with those of a classical model of statistics. The second project---Transparency in Structural Estimation---provides a working definition of transparency for structural estimation and discusses approaches to achieving it. The third project titled “Instrument Selection and Sensitivity to Misspecification in Structural Models” will develop and illustrate the importance of instrument choice in determining the sensitivity of estimates of structural models to misspecification. The results of this research project does not only contribute to econometric theory and practice but also to improvement of policy and program evaluation. This research improves economic and policy decision making, hence strengthens the US economy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

许多经济研究试图将联合收割机经济理论和统计建模结合起来，从数据中得出与政策相关的结论。这一过程的透明度--目标受众是否能够理解结论背后的证据以及结论本身--对政策相关研究的成功至关重要。本项目将制定一个框架，以了解取得成果的过程，以及向不同受众传播科学发现，将该框架应用于应用经济学中的重要问题，并研究经济学家如何从数据或方法的微小变化中得出更稳定的政策相关结论。 该研究有三个项目：科学交流研究，透明度的定义和测量，以及一个专注于如何实现经济学研究透明度的项目。 本文的研究成果将有助于更有效、更可靠的政策相关经济学研究。 它还将导致对经济政策研究的更多信任，以及制定更好的政策。该项目将研究科学研究的透明度。 该研究由三个项目组成：第一个项目将使用经济理论和统计决策理论提出和发展一个科学传播模型，并将其含义与经典的统计模型进行对比。第二个项目-- 本研究成果不仅对计量经济学理论和实践有一定的贡献，而且对政策和项目评估的改进也有一定的参考价值。 这项研究改善了经济和政策决策，从而加强了美国经济。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A Model of Scientific Communication

科学传播的模型

• DOI: 10.3982/ecta18155
• 发表时间: 2021
• 期刊: Econometrica
• 影响因子: 6.1
• 作者: Andrews, Isaiah;Shapiro, Jesse M.
• 通讯作者: Shapiro, Jesse M.

Transparency in Structural Research

• DOI: 10.1080/07350015.2020.1796395
• 发表时间: 2020-08-19
• 期刊: JOURNAL OF BUSINESS & ECONOMIC STATISTICS
• 影响因子: 3
• 作者: Andrews, Isaiah;Gentzkow, Matthew;Shapiro, Jesse M.
• 通讯作者: Shapiro, Jesse M.