Constructs a dataset analyzing capital service expenditures in global value chains, suggesting significant consumption gains.
This paper constructs the first global dataset on inter-sectoral capital service expenditures. I use this data to disaggregate capital services and intermediate inputs in a dynamic multi-sector trade model. Steady state allocations and responses to shocks are determined by a capital-augmented global input-output matrix. Two properties of the measured network deliver larger long-run consumption gains from globalization than existing estimates, as well as larger gains in more capital-intensive countries. First, more trade-exposed sectors supply capital to more consumption-influential producers. Second, heterogeneity in the network reallocates sectoral expenditures towards producers with larger declines in capital rental prices. These reallocations raise capital incomes and lower consumption price indices.
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Xiang Ding (2026) studied this question.
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