The Wage Effects of Offshoring: Evidence from Danish Matched Worker-Firm Data

Working Paper: NBER ID: w17496

Authors: David Hummels; Rasmus Jørgensen; Jakob R. Munch; Chong Xiang

Abstract: We estimate how offshoring and exporting affect wages by skill type. Our data match the population of Danish workers to the universe of private-sector Danish firms, whose trade flows are broken down by product and origin and destination countries. Our data reveal new stylized facts about offshoring activities at the firm level, and allow us to both condition our identification on within-job-spell changes and construct instruments for offshoring and exporting that are time varying and uncorrelated with the wage setting of the firm. We find that within job spells, (1) offshoring tends to increase the high-skilled wage and decrease the low-skilled wage; (2) exporting tends to increase the wages of all skill types; (3) the net wage effect of trade varies substantially across workers of the same skill type; and (4) conditional on skill, the wage effect of offshoring exhibits additional variation depending on task characteristics. We then track the outcomes for workers after a job spell and find that those displaced from offshoring firms suffer greater earnings losses than other displaced workers, and that low-skilled workers suffer greater and more persistent earnings losses than high-skilled workers.

Keywords: Offshoring; Wages; Trade; Skill Premium

JEL Codes: F16


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)high-skilled wages (J31)
offshoring (F23)low-skilled wages (J31)
exporting (F10)wages of all skill types (J31)
displacement from offshoring firms (F23)earnings losses (J17)
offshoring (F23)skill premium within firms (J24)

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