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|a In this paper, we present new findings that validate earlier literature on the apparent segmentation of the US earnings distribution. Previous contributions posited that the observed distribution of earnings combined two or three distinct signals and was thus appropriately modeled as a finite mixture of distributions. Furthermore, each component in the mixture appeared to have distinct distributional features hinting at qualitatively distinct generating mechanisms behind each component, providing strong evidence for some form of labor market segmentation. This paper presents new findings that support these earlier conclusions using internal CPS ASEC data spanning a much longer study period from 1974 to 2016. The restricted-access internal data is not subject to the same level of top-coding as the public-use data that earlier contributions to the literature were based on. The evolution of the mixture components provides new insights about changes in the earnings distribution including earnings inequality. In addition, we correlate component membership with worker type to provide a tacit link to various theoretical explanations for labor market segmentation, while solving the problem of assigning observations to labor market segments a priori.
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In this paper, we present new findings that validate earlier literature on the apparent segmentation of the US earnings distribution. Previous contributions posited that the observed distribution of earnings combined two or three distinct signals and was thus appropriately modeled as a finite mixture of distributions. Furthermore, each component in the mixture appeared to have distinct distributional features hinting at qualitatively distinct generating mechanisms behind each component, providing strong evidence for some form of labor market segmentation. This paper presents new findings that support these earlier conclusions using internal CPS ASEC data spanning a much longer study period from 1974 to 2016. The restricted-access internal data is not subject to the same level of top-coding as the public-use data that earlier contributions to the literature were based on. The evolution of the mixture components provides new insights about changes in the earnings distribution including earnings inequality. In addition, we correlate component membership with worker type to provide a tacit link to various theoretical explanations for labor market segmentation, while solving the problem of assigning observations to labor market segments a priori. |
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Scharfenaker, Ellis VerfasserIn aut, Labor market segmentation and the distribution of income new evidence from internal census bureau data Ellis Scharfenaker, Markus P.A. Schneider, Salt Lake City, UT University of Utah, Department of Economics [2019], 1 Online-Ressource (circa 39 Seiten) Illustrationen, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Working paper / University of Utah, Department of Economics no: 2019, 08 (August 2019), In this paper, we present new findings that validate earlier literature on the apparent segmentation of the US earnings distribution. Previous contributions posited that the observed distribution of earnings combined two or three distinct signals and was thus appropriately modeled as a finite mixture of distributions. Furthermore, each component in the mixture appeared to have distinct distributional features hinting at qualitatively distinct generating mechanisms behind each component, providing strong evidence for some form of labor market segmentation. This paper presents new findings that support these earlier conclusions using internal CPS ASEC data spanning a much longer study period from 1974 to 2016. The restricted-access internal data is not subject to the same level of top-coding as the public-use data that earlier contributions to the literature were based on. The evolution of the mixture components provides new insights about changes in the earnings distribution including earnings inequality. In addition, we correlate component membership with worker type to provide a tacit link to various theoretical explanations for labor market segmentation, while solving the problem of assigning observations to labor market segments a priori., Schneider, Markus VerfasserIn (DE-588)136126553 (DE-627)575009543 (DE-576)299340864 aut, University of Utah Department of Economics Working papers no: 2019, 08 (August 2019) 2019,8 (DE-627)557583500 (DE-576)281369887 (DE-600)2407571-1, https://economics.utah.edu/research/publications/2019-08.pdf Verlag kostenfrei Volltext, http://hdl.handle.net/10419/261014 Resolving-System kostenfrei, https://economics.utah.edu/research/publications/2019-08.pdf LFER, LFER 2019-09-16T00:00:00Z |
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Scharfenaker, Ellis, Schneider, Markus, Labor market segmentation and the distribution of income: new evidence from internal census bureau data, University of Utah, Department of Economics, Working papers, no: 2019, 08 (August 2019), In this paper, we present new findings that validate earlier literature on the apparent segmentation of the US earnings distribution. Previous contributions posited that the observed distribution of earnings combined two or three distinct signals and was thus appropriately modeled as a finite mixture of distributions. Furthermore, each component in the mixture appeared to have distinct distributional features hinting at qualitatively distinct generating mechanisms behind each component, providing strong evidence for some form of labor market segmentation. This paper presents new findings that support these earlier conclusions using internal CPS ASEC data spanning a much longer study period from 1974 to 2016. The restricted-access internal data is not subject to the same level of top-coding as the public-use data that earlier contributions to the literature were based on. The evolution of the mixture components provides new insights about changes in the earnings distribution including earnings inequality. In addition, we correlate component membership with worker type to provide a tacit link to various theoretical explanations for labor market segmentation, while solving the problem of assigning observations to labor market segments a priori. |
| title |
Labor market segmentation and the distribution of income: new evidence from internal census bureau data |
| title_auth |
Labor market segmentation and the distribution of income new evidence from internal census bureau data |
| title_full |
Labor market segmentation and the distribution of income new evidence from internal census bureau data Ellis Scharfenaker, Markus P.A. Schneider |
| title_fullStr |
Labor market segmentation and the distribution of income new evidence from internal census bureau data Ellis Scharfenaker, Markus P.A. Schneider |
| title_full_unstemmed |
Labor market segmentation and the distribution of income new evidence from internal census bureau data Ellis Scharfenaker, Markus P.A. Schneider |
| title_in_hierarchy |
no: 2019, 08 (August 2019). Labor market segmentation and the distribution of income: new evidence from internal census bureau data ([2019]) |
| title_short |
Labor market segmentation and the distribution of income |
| title_sort |
labor market segmentation and the distribution of income new evidence from internal census bureau data |
| title_sub |
new evidence from internal census bureau data |
| url |
https://economics.utah.edu/research/publications/2019-08.pdf, http://hdl.handle.net/10419/261014 |
