Melitz in GTAP Made Easy: the A2M Conversion Method and Result Interpretation

IF 2.2 Q2 ECONOMICS
P. Dixon, M. Jerie, Maureen T. Rimmer
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引用次数: 2

Abstract

Since the 1970s, Armington has been the workhorse specification of trade in computable general equilibrium (CGE) models. Under Armington, agents substitute between products from different countries. Conceptually, Melitz provides a more attractive approach in which substitution is between products from different firms rather than countries. Other attractive features of Melitz are monopolistic competition and economies of scale from fixed establishment costs for firms and fixed set-up costs on trade links. In this paper, we show how, with little change to existing code, an Armington model can be converted to Melitz by adding a few equations and introducing closure swaps. We apply our Armington-to-Melitz method to the Armington-based Global Trade Analysis Project (GTAP) model to derive GTAP-Armington-to-Melitz (GTAP-A2M). We show how results from a CGE model with Melitz industries can be interpreted via back-of-the-envelope calculations. In simulations of the effects of a tariff imposed by North America on imports of apparel, we find greater welfare losses for exporting regions under Melitz than under Armington principally because contraction of apparel output in these regions under Melitz generates an increase in the cost to their households of domestic apparel. Finally, we review two other Melitz-based versions of GTAP: GTAP-HET and a recently published model by Bekkers and Francois.
Melitz在GTAP简化:A2M转换方法和结果解释
自20世纪70年代以来,阿明顿一直是可计算一般均衡(CGE)模型中贸易的主力规范。在阿明顿,代理商在不同国家的产品之间进行替代。从概念上讲,梅利茨提出了一种更有吸引力的方法,即在不同公司而不是国家的产品之间进行替代。梅利茨的其他吸引人的特点是垄断竞争和规模经济,因为企业的固定设立成本和贸易联系上的固定设立成本。在本文中,我们展示了如何在对现有代码进行少量更改的情况下,通过添加一些方程和引入闭包交换将Armington模型转换为Melitz模型。我们将阿明顿-梅利茨方法应用于基于阿明顿的全球贸易分析项目(GTAP)模型,得出GTAP-阿明顿-梅利茨模型(GTAP- a2m)。我们展示了如何通过粗略的计算来解释梅利茨工业的CGE模型的结果。在模拟北美对服装进口征收关税的影响时,我们发现,在梅利茨政策下,出口地区的福利损失比阿明顿政策下更大,这主要是因为在梅利茨政策下,这些地区服装产量的收缩导致其家庭购买国内服装的成本增加。最后,我们回顾了另外两个基于melitz的GTAP版本:GTAP- het和Bekkers和Francois最近发表的模型。
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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来源期刊
CiteScore
5.60
自引率
12.00%
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0
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