Non Parametric Gravity: Quantifying Firm Heterogeneity and Measuring Its Macroeconomic Implications

非参数引力：量化企业异质性并衡量其宏观经济影响

• 批准号: 2018234
• 负责人: Konstantinos Arkolakis
• 金额: $ 36.5万
• 依托单位: National Bureau of Economic Research Inc
• 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: 2020-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018234&HistoricalAwards=false
• 关键词: Non; Parametric; Gravity; Quantifying; Firm

AbstractThe international trade field has been transformed by the study of individual firms. The correlation between observable firm attributes, such as firm productivity, and international trade performance led to a reevaluation of international trade framework and a vivid debate about the importance of firm heterogeneity for various macroeconomic outcomes, such as the gains from trade and the trade growth after a trade liberalization. This project constitutes a major endeavor to quantify firm heterogeneity and measure its macroeconomic implications. It envisions developing a theoretical and empirical framework in order to answer three key questions at the center of the analysis of firm performance in international trade and its macroeconomic impact. How does firm heterogeneity affect the predictions of trade models for the removal of trade barriers? How can one estimate the importance of various sources of firm heterogeneity in order to improve the model predictions? Finally, how can these estimates used to provide a more credible evaluation of the model's policy implications? Ultimately the project will improve the credibility of quantitative models used for policy evaluations related to trade to trade cost changes.The project will explore firm heterogeneity in trade and on estimation of trade models. The research will incorporate nonparametric and semiparametric estimation tools developed in the fields of Econometrics and Industrial Organization in order to relax the restrictive parametric forms that quantitative trade models have imposed on the distribution of firm fundamentals. The research builds on three projects. The first project uses developed tools to improve the credibility of quantitative models used for policy evaluations by allowing them to capture non-linear elasticities of firm-level exports at the sector-level. The second project will combine micro-data on the individual behavior of firms with the baseline framework to quantify additional margins through which firm heterogeneity can affect aggregate outcomes and estimate individual firm demand. The project will ultimately develop new applied general equilibrium models that incorporate firm heterogeneity which can be used for predictions of trade policy going forward.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.

国际贸易领域已经被对单个企业的研究所改变。企业生产率等可观察到的企业属性与国际贸易绩效之间的相关性导致了对国际贸易框架的重新评估，并引发了关于企业异质性对各种宏观经济结果（如贸易收益和贸易自由化后的贸易增长）的重要性的激烈辩论。 该项目是量化企业异质性和衡量其宏观经济影响的一项重大奋进。它设想开发一个理论和实证框架，以回答分析企业国际贸易绩效及其宏观经济影响的三个核心问题。企业异质性如何影响贸易模型对消除贸易壁垒的预测？如何估计企业异质性的各种来源的重要性，以改善模型的预测？最后，如何利用这些估计来对模型的政策含义进行更可信的评估？最终，该项目将提高与贸易成本变化有关的政策评估所使用的定量模型的可信度，该项目将探讨贸易中的公司异质性和贸易模型的估计。该研究将纳入计量经济学和产业组织领域开发的非参数和半参数估计工具，以放松定量贸易模型对企业基本面分布的限制性参数形式。该研究基于三个项目。第一个项目利用已开发的工具，提高政策评价所用定量模型的可信度，使其能够在部门一级反映公司一级出口的非线性弹性。第二个项目将联合收割机的微观数据的个别行为的公司与基线框架，以量化额外的利润率，通过企业异质性可以影响总的结果和估计个别公司的需求。该项目最终将开发新的应用一般均衡模型，其中包括企业异质性，可用于预测未来的贸易政策。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。