Measuring trade in value added with firm-level data
成果类型：
Article
署名作者：
Bems, Rudolfs; Kikkawa, Ayumu Ken
署名单位：
International Monetary Fund; Centre for Economic Policy Research - UK; University of British Columbia
刊物名称：
JOURNAL OF INTERNATIONAL ECONOMICS
ISSN/ISSBN：
0022-1996
DOI：
10.1016/j.jinteco.2021.103434
发表日期：
2021
关键词：
摘要：
Global Value Chains have proliferated in economic policy debates. Yet a key concept-trade in value added-is likely mismeasured because of sectoral aggregation bias stemming from reliance on input-output tables. This paper uses comprehensive firm-level data on domestic and international transactions to study this bias. We find that sectoral aggregation leads to overstated trade in value added. The magnitude of the bias varies across countries-at 2-5 p. p. of gross exports for Belgium and 17 p.p. for China. We study how the interplay between within-sector heterogeneities in firms' import and export intensities and size determine the magnitude of the bias. (C) 2021 Elsevier B.V. All rights reserved.