MARC Bibliographic Record

LEADER02938cam a2200397Ii 4500
001 991022022174202122
005 20150915124339.0
006 m o d
007 cr |||||||||||
008 150714s2015 mauab ob 000 0 eng d
035    $a(OCoLC)ocn913784511
035    $a(EXLNZ-01UWI_NETWORK)9911183171202121
040    $aOUN$beng$erda$cOUN$dGZM
043    $an-us---
049    $aGZMA
090    $aH11$b.N2434x no.21359
100 1_ $aCascio, Elizabeth U.,$eauthor.
245 10 $aWho needs a fracking education? :$bThe educational response to low-skill biased technological change /$cElizabeth U. Cascio, Ayushi Narayan.
264 _1 $aCambridge, Mass. :$bNational Bureau of Economic Research,$c2015.
300    $a1 online resource (55 pages) :$billustrations, map.
336    $atext$btxt$2rdacontent
337    $acomputer$bc$2rdamedia
338    $aonline resource$bcr$2rdacarrier
490 1_ $aNBER working paper series ;$vno. 21359
588    $aDescription based on online resource; title from http://www.nber.org/papers/21359 viewed July 14, 2015.
500    $a"July 2015"
504    $aIncludes bibliographical references (pages 34-36).
520    $aOver the past decade, a technological breakthrough -- hydraulic fracturing or "fracking" -- has fueled a boom in oil and natural gas extraction by reaching shale reserves inaccessible through conventional technologies. We explore the educational response to fracking, taking advantage of the timing of its widespread introduction and the spatial variation in shale oil and gas reserves. We show that local labor demand shocks from fracking have been biased toward low-skilled labor and males, reducing the return to high school completion among men. We also show that fracking has increased high school dropout rates of male teens, both overall and relative to females. Our estimates imply that, absent fracking, the male-female gap in high school dropout rates among 17- to 18-year-olds would have narrowed by about 11% between 2000 and 2013 instead of remaining unchanged. Our estimates also imply an elasticity of high school completion with respect to the return to high school of 0.47, a figure below historical estimates. Explanations for our findings aside from fracking's low-skill bias -- changes in school inputs, population demographics, and resource prices -- receive less empirical support.
650 _0 $aHydraulic fracturing$xSocial aspects$zUnited States$xEconometric models.
650 _0 $aHigh school dropouts$zUnited States$xEconometric models.
650 _0 $aUnskilled labor$xEffect of technological innovations on$zUnited States$xEconometric models.
650 _0 $aEducational attainment$zUnited States$xEconometric models.
700 1_ $aNarayan, Ayushi,$eauthor.
710 2_ $aNational Bureau of Economic Research,$epublisher.
830 _0 $aWorking paper series (National Bureau of Economic Research) ;$vno. 21359.
856 40 $uhttp://www.nber.org/papers/w21359
950    $a20150915$bmem$cc$de$egls$9local
997    $aMARCIVE

MMS IDs

Document ID: 9911183171202121
Network Electronic IDs: 9911183171202121
Network Physical IDs:
mms_mad_ids: 991022022174202122