李嘉图贸易模型中民族网络的部门贸易促进效应

M. Lanati
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引用次数: 1

摘要

本文在Eaton和Kortum(2002)的李嘉图模型中研究了贸易移民之间的联系,并量化了19个经合组织国家样本中移民对18个制造业部门的促进贸易的影响。结果在不同的计量指标中都很稳健,它们表明纸浆、纸张、纸制品、印刷和出版是移民对贸易影响最大的行业。分析表明,在贸易份额方程中考虑民族网络对估计所有制造业部门的贸易成本弹性参数具有重要意义。通过遵循两步方法来估计部门水平上的贸易成本弹性,其中q与工资对出口商固定效应的影响成正比,我发现,当种族网络被包括在贸易决定因素中时,在整个制造业中q减少了1.03。平均而言,贸易成本弹性的下降大致相当于国民收入的4.16%的福利增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Sectoral Pro-Trade Effects of Ethnic Networks within a Ricardian Model of Trade
This paper investigates the trade migration link within a Ricardian model` a la Eaton and Kortum (2002) and it quantifies the pro-trade effects of immigrants for 18 manufactur- ing sectors in a sample of 19 OECD countries. The results are robust across different econometric specifications and they indicate pulp, paper, paper products, printing and publishing as the sector where immigration has the greatest impact on trade. The analy- sis shows that accounting for ethnic networks in the trade share equation has important implications for the estimation of trade cost elasticity parameter across all manufacturing sectors. By following a two-step approach to estimate trade cost elasticity at sector level where q is proportional to the effect of wages on exporter fixed effects, I find that in total manufacturing q decreases by 1.03 when ethnic networks are included among the determinants of trade. This drop of trade cost elasticity approximately corresponds - on average - to a welfare gain of 4.16% of national income.
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