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dc.contributor.authorKim, ChangHwan
dc.contributor.authorTamborini, Christopher R.
dc.contributor.authorSakamoto, Arthur
dc.date.accessioned2018-06-06T16:30:16Z
dc.date.available2018-06-06T16:30:16Z
dc.date.issued2018-03-21
dc.identifier.citationKim, ChangHwan, Christopher R. Tamborini, and Arthur Sakamoto. 2018. “The Sources of Life Chances: Does Education, Class Category, Occupation or Short-Term Earnings Predict 20-Year Long-Term Earnings?” Sociological Science 5:206-233.en_US
dc.identifier.urihttp://hdl.handle.net/1808/26454
dc.description.abstractIn sociological studies of economic stratification and intergenerational mobility, occupation has long been presumed to reflect lifetime earnings better than do short-term earnings. However, few studies have actually tested this critical assumption. In this study, we investigate the cross-sectional determinants of 20-year accumulated earnings using data that match respondents in the Survey of Income and Program Participation to their longitudinal earnings records based on administrative tax information from 1990 to 2009. Fit statistics of regression models are estimated to assess the predictive power of various proxy variables, including occupation, education, and short-term earnings, on cumulative earnings over the 20-year time period. Contrary to the popular assumption in sociology, our results find that cross-sectional earnings have greater predictive power on long-term earnings than occupation-based class classifications, including three-digit detailed occupations for both men and women. The model based on educational attainment, including field of study, has slightly better fit than models based on one-digit occupation or the Erikson, Goldthorpe, and Portocarero class scheme. We discuss the theoretical implications of these findings for the sociology of stratification and intergenerational mobilityen_US
dc.publisherSociety for Sociological Scienceen_US
dc.rightsCopyright 2018 The Author(s). This open-access article has been published under a Creative Commons Attribution License, which allows unrestricted use, distribution and reproduction, in any form, as long as the original author and source have been credited. cben_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLong-term earningsen_US
dc.subjectEducational attainmenten_US
dc.subjectOccupationen_US
dc.subjectClassen_US
dc.subjectAdministrative dataen_US
dc.titleThe Sources of Life Chances: Does Education, Class Category, Occupation, or Short-Term Earnings Predict 20-Year Long-Term Earnings?en_US
dc.typeArticleen_US
kusw.kuauthorKim, ChangHwan
kusw.kudepartmentSociologyen_US
dc.identifier.doi10.15195/v5.a9en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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Copyright 2018 The Author(s).
This open-access article
has been published under a Creative
Commons Attribution License,
which allows unrestricted
use, distribution and reproduction,
in any form, as long as the
original author and source have
been credited. cb
Except where otherwise noted, this item's license is described as: Copyright 2018 The Author(s). This open-access article has been published under a Creative Commons Attribution License, which allows unrestricted use, distribution and reproduction, in any form, as long as the original author and source have been credited. cb