Statistics to Measure Offshoring and Its Impact

Working Paper: NBER ID: w23067

Authors: Robert C. Feenstra

Abstract: 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.

Keywords: offshoring; labor demand; wage inequality; globalization; value-added

JEL Codes: F12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
offshoring (F23)relative demand for high-skilled labor (J24)
offshoring (F23)relative wage of skilled workers (J31)
offshoring of service activities (L86)wage gap between skilled and unskilled workers (J31)
increase in foreign value-added in exports (F10)implications for domestic labor markets (F66)

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