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
Version: View help for Version V1
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Project Citation:
Koopman, Robert, Wang, Zhi, and Wei, Shang-Jin. Replication data for: Tracing Value-Added and Double Counting in Gross Exports. 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
Project Description
Summary:
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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:
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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
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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