Replication data for: Tracing Value-Added and Double Counting in Gross Exports

Principal Investigator(s): View help for Principal Investigator(s) Robert Koopman; Zhi Wang; Shang-Jin Wei

Name	File Type	Size	Last Modified
AER20110086_SAS_WTO_WIOD			10/11/2019 09:46:PM
AER20110086_prg_data			10/11/2019 09:47:PM

Citation:

Koopman, Robert, Wang, Zhi, and Wei, Shang-Jin. Replication data for: Tracing Value-Added and Double Counting in Gross Exports: data. Nashville, TN: American Economic Association [publisher], 2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112734V1-24225

To view the citation for the overall project, see http://doi.org/10.3886/E112734V1.

Project Description

Summary: 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.

Scope of Project

JEL Classification:
      E01 Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
      E16 General Aggregative Models: Social Accounting Matrix
      F14 Empirical Studies of Trade
      F23 Multinational Firms; International Business
      L14 Transactional Relationships; Contracts and Reputation; Networks

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Published Versions

V1 [2019-10-11]

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DDI 2.5

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