Winners and losers: a micro-level analysis of international outsourcing and wages
Ingo Geishecker and
Holger Görg ()
Canadian Journal of Economics, 2008, vol. 41, issue 1, pages 243-270
Our paper investigates the link between international outsourcing and wages utilizing a large household panel and combining it with industry-level information on industries' outsourcing activities from input-output tables. This approach avoids problems such as aggregation bias, potential endogeneity bias, and poor skill definitions that commonly hamper industry-level studies. We find that outsourcing has had a marked impact on wages. Applying two alternative skill classifications, we find evidence that a 1 percentage point increase in outsourcing reduced the wage for workers in the lowest skill categories by up to 1.5%, while it increased wages for high-skilled workers by up to 2.6%. This result is robust to a number of different specifications.
JEL-codes: F16 J31 (search for similar items in EconPapers)
References: Add references at CitEc
Citations View citations in EconPapers (77) Track citations by RSS feed
Downloads: (external link)
http://economics.ca/cgi/xms?jab=v41n1/CJEv41n1p0243.pdf Full text (application/pdf)
Available to subscribers only. Alternative access through JSTOR and Ingenta.
Working Paper: Winners and losers: A Micro-level Analysis of International Outsourcing and Wages (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:cje:issued:v:41:y:2008:i:1:p:243-270
Ordering information: This journal article can be ordered from
Access Statistics for this article
Canadian Journal of Economics is currently edited by David Green
More articles in Canadian Journal of Economics from Canadian Economics Association Canadian Economics Association Prof. Steven Ambler, Secretary-Treasurer c/o Olivier Lebert, CEA/CJE/CPP Office C.P. 35006, 1221 Fleury Est Montréal, Québec, Canada H2C 3K4. Contact information at EDIRC.
Series data maintained by Prof. Werner Antweiler ().