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量化贸易模型:发展与挑战

Quantitative Trade Models: Developments and Challenges
Annual Review of Economics · 2017 · Timothy J. Kehoe、Pau Pujolas、Jack Rossbach

中文摘要

自20世纪80年代以来,涵盖多个国家、多个产业以及产业间投入产出关联的应用一般均衡(AGE)模型,一直是评估贸易改革影响的主导工具。我们回顾了这些模型如何用于政策分析,并说明了其在预测以往贸易改革的产业层面效应方面存在的不足。我们认为,为改善模型表现,AGE模型需要纳入按行业分类的双边贸易关系的产品层面数据,并更好地刻画贸易改革如何降低双边贸易成本。我们采用Kehoe等人(2015)的最少贸易产品方法,为如何作出改进提供指导。我们还就AGE模型如何吸纳量化贸易理论的最新进展提出进一步建议,以提高其预测能力,并更好地量化贸易自由化带来的收益。

Abstract

Applied general equilibrium (AGE) models, which feature multiple countries, multiple industries, and input–output linkages across industries, have been the dominant tool for evaluating the impact of trade reforms since the 1980s. We review how these models are used to perform policy analysis and document their shortcomings in predicting the industry-level effects of past trade reforms. We argue that, to improve their performance, AGE models need to incorporate product-level data on bilateral trade relations by industry and better model how trade reforms lower bilateral trade costs. We use the least-traded-products methodology of Kehoe et al. (2015) to provide guidance on how improvements can be made. We provide further suggestions on how AGE models can incorporate recent advances in quantitative trade theory to improve their predictive ability and better quantify the gains from trade liberalization.
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