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

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:
2020-08-01 至 2024-07-31

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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.
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Clean Growth and Comparative Advantage
  • 批准号:
    2117288
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.0万
  • 财政年份:
    2021
  • 负责人:
    Konstantinos Arkolakis
  • 依托单位:
RIDIR: A Big Data Approach to Understanding American Growth
Collaborative Research: A Unified Approach to Spatial Economics
  • 批准号:
    1658875
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $19.05万
  • 财政年份:
    2017
  • 负责人:
    Konstantinos Arkolakis
  • 依托单位:
CAREER: Welfare Gains from Economic Integration: A Unified Approach
  • 批准号:
    1255298
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $42.99万
  • 财政年份:
    2013
  • 负责人:
    Konstantinos Arkolakis
  • 依托单位:
海外基金