000 | 03354cam a22004457 4500 | ||
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001 | w26844 | ||
003 | NBER | ||
005 | 20211020103832.0 | ||
006 | m o d | ||
007 | cr cnu|||||||| | ||
008 | 210910s2020 mau fo 000 0 eng d | ||
100 | 1 | _aBlair, Peter Q. | |
245 | 1 | 0 |
_aSearching for STARs: _bWork Experience as a Job Market Signal for Workers without Bachelor's Degrees / _cPeter Q. Blair, Tomas G. Castagnino, Erica L. Groshen, Papia Debroy, Byron Auguste, Shad Ahmed, Fernando Garcia Diaz, Cristian Bonavida. |
260 |
_aCambridge, Mass. _bNational Bureau of Economic Research _c2020. |
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_a1 online resource: _billustrations (black and white); |
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490 | 1 |
_aNBER working paper series _vno. w26844 |
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500 | _aMarch 2020. | ||
520 | 3 | _aThe demand for a skilled workforce is increasing even faster than the supply of workers with college degrees - the result: rising wage inequality by education levels, and firms facing a skills gap. While it is often assumed that increasing the number of college graduates is required to fill this gap, this paper explores the extent to which workers without BA college degrees can help fill this gap. To find workers without BA degrees who are potentially skilled through alternative routes (STARs), we use data on the skill requirements of jobs to compute the "skill distance" between a worker's current occupation and higher wage occupations with similar skill requirements in their local labor market. Based on our calculations, of the 16 million non-college educated workers with skills for high-wage work (> twice median earnings), 11 million whom we term "Rising STARs" are currently employed in middle-to low-wage work. We propose a general taxonomy for STARs to identify potential job transitions to higher wage work within their current earnings category and across earnings categories. | |
530 | _aHardcopy version available to institutional subscribers | ||
538 | _aSystem requirements: Adobe [Acrobat] Reader required for PDF files. | ||
538 | _aMode of access: World Wide Web. | ||
588 | 0 | _aPrint version record | |
690 | 7 |
_aE24 - Employment • Unemployment • Wages • Intergenerational Income Distribution • Aggregate Human Capital • Aggregate Labor Productivity _2Journal of Economic Literature class. |
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690 | 7 |
_aI24 - Education and Inequality _2Journal of Economic Literature class. |
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690 | 7 |
_aJ11 - Demographic Trends, Macroeconomic Effects, and Forecasts _2Journal of Economic Literature class. |
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690 | 7 |
_aJ24 - Human Capital • Skills • Occupational Choice • Labor Productivity _2Journal of Economic Literature class. |
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690 | 7 |
_aO15 - Human Resources • Human Development • Income Distribution • Migration _2Journal of Economic Literature class. |
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700 | 1 | _aCastagnino, Tomas G. | |
700 | 1 |
_aGroshen, Erica L. _911919 |
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700 | 1 | _aDebroy, Papia. | |
700 | 1 | _aAuguste, Byron. | |
700 | 1 | _aAhmed, Shad. | |
700 | 1 | _aDiaz, Fernando Garcia. | |
700 | 1 | _aBonavida, Cristian. | |
710 | 2 | _aNational Bureau of Economic Research. | |
830 | 0 |
_aWorking Paper Series (National Bureau of Economic Research) _vno. w26844. |
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856 | 4 | 0 | _uhttps://www.nber.org/papers/w26844 |
856 |
_yAcceso en lĂnea al DOI _uhttp://dx.doi.org/10.3386/w26844 |
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_2ddc _cW-PAPER |
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_c321278 _d279840 |