Statistics to Measure Offshoring and its Impact /

Feenstra, Robert C.

Statistics to Measure Offshoring and its Impact / Robert C. Feenstra. - Cambridge, Mass. National Bureau of Economic Research 2017. - 1 online resource: illustrations (black and white); - NBER working paper series no. w23067 . - Working Paper Series (National Bureau of Economic Research) no. w23067. .

January 2017.

We identify "first generation" statistics to measure offshoring as the share of imported intermediate inputs in costs, along with O*NET data to measure the tradability of tasks. These data were used to measure the shifts in relative labor demand and relative wages due to offshoring. A limitation of these statistics is that they cannot be used to measure the impact on real wages, and for that purpose, we need price-based measures of offshoring. More recently, "second generation" statistics have arisen from global input-output tables. These measures include the foreign value-added in exports, or its counterpart, the domestic value-added in exports. We illustrate the foreign value-added component in the surge of Chinese exports following its WTO entry in 2001. We argue that such second-generation statistics should also be supplemented by price-based measure of offshoring, and we propose one simple measure that extends the effective rate of protection on imports to apply to exported goods.




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