MARC Record from Library of Congress

LEADER: 02403cam a22003017a 4500
001 2006619718
003 DLC
005 20070720082519.0
007 cr |||||||||||
008 061012s2006 mau sb 000 0 eng
010 $a 2006619718
040 $aDLC$cDLC
050 00 $aHB1
100 1 $aBeaudry, Paul.
245 10 $aEndogenous skill bias in technology adoption$h[electronic resource] :$bcity-level evidence from the it revolution /$cPaul Beaudry, Mark Doms, Ethan Lewis.
260 $aCambridge, MA :$bNational Bureau of Economic Research,$cc2006.
490 1 $aNBER working paper series ;$vworking paper 12521
538 $aSystem requirements: Adobe Acrobat Reader.
538 $aMode of access: World Wide Web.
500 $aTitle from PDF file as viewed on 10/12/2006.
530 $aAlso available in print.
504 $aIncludes bibliographical references.
520 3 $a"This paper focuses on the bi-directional interaction between technology adoption and labor market conditions. We examine cross-city differences in PC-adoption, relative wages, and changes in relative wages over the period 1980-2000 to evaluate whether the patterns conform to the predictions of a neoclassical model of endogenous technology adoption. Our approach melds the literature on the effect of the relative supply of skilled labor on technology adoption to the often distinct literature on how technological change influences the relative demand for skilled labor. Our results support the idea that differences in technology use across cities and its effects on wages reflect an equilibrium response to local factor supply conditions. The model and data suggest that cities initially endowed with relatively abundant and cheap skilled labor adopted PCs more aggressively than cities with relatively expensive skilled labor, causing returns to skill to increase most in cities that adopted PCs most intensively. Our findings indicate that neo-classical models of endogenous technology adoption can be very useful for understanding where technological change arises and how it affects markets"--National Bureau of Economic Research web site.
700 1 $aDoms,Mark
700 1 $aLewis, Ethan
710 2 $aNational Bureau of Economic Research.
830 0 $aWorking paper series (National Bureau of Economic Research : Online) ;$vworking paper no. 12521.
856 40 $uhttp://papers.nber.org/papers/w12521