This paper assesses the quantitative importance of including sectoral heterogeneity in computing the gains from trade. Our framework draws from Caliendo and Parro (2015) and has sectoral heterogeneity along five dimensions, including the elasticity of trade to trade costs. We estimate the sectoral trade elasticity with the Simonovska and Waugh (2014) simulated method of moments estimator and micro price data. Our estimates range from 2.97 to 8.94 across sectors. Our benchmark model is calibrated to 21 OECD countries and 20 sectors. We remove one or two sources of sectoral heterogeneity at a time, and compare the gains from trade to the benchmark model. We also compare an aggregate model with a single elasticity to the benchmark model. Our main result from these counterfactual exercises is that sectoral heterogeneity does not always lead to an increase in the gains from trade, which is consistent with the theory.

中文翻译：

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贸易收益：部门异质性重要吗？


本文评估了在计算贸易收益时纳入部门异质性的定量重要性。我们的框架借鉴了 Caliendo 和 Parro (2015)，在五个维度上具有部门异质性，包括贸易对贸易成本的弹性。我们使用 Simonovska 和 Waugh (2014) 的矩估计器模拟方法和微观价格数据来估计部门贸易弹性。我们对各个行业的预测范围为 2.97 至 8.94。我们的基准模型针对 21 个 OECD 国家和 20 个部门进行了校准。我们一次消除一两个部门异质性来源，并将贸易收益与基准模型进行比较。我们还将具有单一弹性的聚合模型与基准模型进行比较。我们从这些反事实练习中得到的主要结果是，部门异质性并不总是导致贸易收益的增加，这与理论是一致的。