Trade Elasticity: Estimates from Product-Level Data

Juyoung Cheong, D. Kwak, K. Tang
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Abstract

In a seminal paper, Helpman et al. (2008) demonstrate that accounting for self-selection and firm heterogeneity is crucial for obtaining unbiased estimates in the gravity equation. In this paper, we show how this insight helps solve the trade elasticity puzzle that, hitherto, trade elasticity estimates in the gravity equations have implied very small welfare gains from trade. To apply their approach to product-level data, we propose new exclusion restrictions based on the export learning literature. Our new estimates imply much larger welfare gains from trade than the previous literature suggested.
贸易弹性:来自产品层面数据的估计
在一篇开创性的论文中,Helpman等人(2008)证明,考虑自我选择和企业异质性对于在重力方程中获得无偏估计至关重要。在本文中,我们展示了这种见解如何帮助解决贸易弹性之谜,迄今为止,重力方程中的贸易弹性估计暗示了贸易带来的非常小的福利收益。为了将他们的方法应用于产品级数据,我们基于出口学习文献提出了新的排除限制。我们的新估计表明,贸易带来的福利收益比以前的文献所表明的要大得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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