Collaborative Research: Transparency and Misspecification in Structural Estimation
Collaborative Research: Transparency and Misspecification in Structural Estimation
批准号:
1949066
负责人:
Matthew Gentzkow
金额:
$20.0万
依托单位:
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
项目状态:
已结题
起止时间:
2020-09-01 至 2024-08-31
中文摘要
许多经济研究试图将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--意向受众能否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。这个项目将开发一个框架,用于理解取得成果的过程,以及向不同受众传达科学发现,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不随数据或方法的微小变化而改变的数据中得出更稳定的与政策相关的结论。这项研究有三个项目:科学交流研究,透明度的定义和衡量,以及一个关注如何实现经济学研究透明度的项目。本文的研究结果将为政策相关经济学的研究提供更有效、更可靠的指导。这也将导致对经济政策研究的更多信任,以及更好的政策发展。该项目将研究科学研究的透明度。这项研究由三个项目组成:第一个项目将利用经济学理论和统计决策理论,提出并开发一个科学传播模型,并将其含义与经典统计模型的含义进行比较。第二个项目-结构估计的透明度-提供了结构估计透明度的工作定义,并讨论了实现这一定义的方法。题为“结构模型中的仪器选择和对错误规范的敏感性”的第三个项目将发展并说明仪器选择在确定结构模型估计对错误规范的敏感性方面的重要性。本课题的研究成果不仅对计量经济学的理论和实践有一定的贡献,而且对政策和方案评价的完善也具有重要的意义。这项研究改善了经济和政策决策,从而加强了美国经济。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
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.
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.
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