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Technology Adoption and Wage Distribution in the U.S. Manufacturing Sector : Quantile Regression Analysis

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dc.contributor.authorKim, Inchul-
dc.contributor.authorMin, Insik-
dc.date.accessioned2009-01-30-
dc.date.available2009-01-30-
dc.date.issued2006-04-
dc.identifier.citationSeoul Journal of Economics, Vol.19 No.2, pp. 215-232-
dc.identifier.issn1225-0279-
dc.identifier.urihttps://hdl.handle.net/10371/1352-
dc.description.abstractThis paper examines the effect of technology adoption on the wage dispersion in the U.S. manufacturing sector using the quantile regression method. We obtain two main results. First during the period of 1970 to 1995, the marginal effect of capital intensity on wage has risen. Second, the marginal effect on high-wage quantiles has risen more than that on low-wage quantiles. These results suggest that (1) high-wage quantile have adopted technologies more actively than others and (2) highcaptial intensity industries have contributed to the widening of wage dispersion over the period.-
dc.language.isoen-
dc.publisherInstitute of Economic Research, Seoul National University-
dc.subjectTechnology adoption-
dc.subjectWage Dispersion-
dc.subjectQuantile regression-
dc.titleTechnology Adoption and Wage Distribution in the U.S. Manufacturing Sector : Quantile Regression Analysis-
dc.typeSNU Journal-
dc.contributor.AlternativeAuthor김인철-
dc.contributor.AlternativeAuthor민인식-
dc.citation.journaltitleSeoul Journal of Economics-
dc.citation.endpage232-
dc.citation.number2-
dc.citation.pages215-232-
dc.citation.startpage215-
dc.citation.volume19-
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