Integrating economic dualism and labor market segmentation: The effects of race, gender, and structural location on earnings, 1974-2000
Although the U.S. economy of the early twenty-first century is vastly different from the U.S. economy prior to the 1970s, the nature of these economic changes and their impact on U.S. workers is unclear. This article claims that despite contemporary economic shifts, differential labor and employer p...
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Veröffentlicht in: | Sociological quarterly 2003-07, Vol.44 (3), p.405 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Although the U.S. economy of the early twenty-first century is vastly different from the U.S. economy prior to the 1970s, the nature of these economic changes and their impact on U.S. workers is unclear. This article claims that despite contemporary economic shifts, differential labor and employer power continues to segment the economy, and workers' position in the labor market continues to predict their rewards, beyond the effects of gender, race, and human capital. Drawing on segmented labor market and dual economy research, we propose a four-category model of the structural factors that influence variance in work-related rewards. We examine the distribution of jobs in each of four categories between 1974 and 2000 and observe that losses and gains across categories are unevenly distributed by race and gender. While white men have experienced the greatest declines in employment and earnings, they have maintained their absolute advantage over women and nonwhites. In multivariate analyses, we find that the structural position of employment continues to be a significant determinant of wages. Although women and racial minorities have experienced sizable increases in employment in primary labor market jobs in the core of the economy, both groups remain overrepresented in low-paying jobs. Moreover women, but not nonwhite men, consistently receive significantly fewer rewards for their labor in both low-paying and high-paying jobs. Our findings suggest that structural factors continue to influence earnings inequality, especially across race and gender lines. |
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ISSN: | 0038-0253 1533-8525 |
DOI: | 10.1525/tsq.2003.44.3.405 |