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.