Abstract
Recent efforts to examine trade data from a value-added perspective, and linking that work to global value and supply chains, has largely been driven by the recognition that traditional data on imports and exports may be masking the increasingly crossborder nature of global production networks. In this paper we examine how using new data sets on value-added trade in two traditional empirical models, a trade-based computable general equilibrium model and an econometric estimation of exchange rate pass through, generate new and useful insights. Our results suggest that the new data sets could improve empirical information used to support policy making.
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