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Cited by 1,995

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Tracing Value-Added and Double Counting in Gross Exports

Open access
Koopman, Robert, Wang, Zhi, Wei, Shang-Jin·2014·American Economic Review
DOI 10.1257/aer.104.2.459
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Abstract

This paper proposes an accounting framework that breaks up a country’s gross exports into various value-added components by source and additional double-counted terms. Our parsimonious framework bridges a gap between official trade statistics (in gross value terms) and national accounts (in value-added terms), and integrates all previous measures of vertical specialization and value-added trade in the literature into a unified framework. To illustrate the potential of such a method, we present a number of applications including re-computing revealed comparative advantages and the magnifying impact of multi-stage production on trade costs. (JEL E01, E16, F14, F23, L14)

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Metadata

Authors
Koopman, R., Wang, Z., & Wei, S.-J.
Venue
American Economic Review
Publisher
American Economic Association
Published
2014-02-01
Volume
104
Issue
2
Pages
459-494
ISSN
0002-8282 (ISSN-L)
DOI
10.1257/aer.104.2.459
OpenAlex
W2076737894
Cited by
1,995
References
2
FWCI
106.61
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tracing Value-Added and Double Counting in Gross Exports. https://app.cochat.ai/papers/10.1257/aer.104.2.459
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Koopman, R., Wang, Z., & Wei, S.-J. (2014). Tracing Value-Added and Double Counting in Gross Exports. American Economic Review. https://doi.org/10.1257/aer.104.2.459

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.