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Bad jobs in America: standard and nonstandard employment relations and job quality in the United States [статья]
Опубликовано на портале: 29-05-2004Arne L. Kalleberg, Ken Hudson American Sociological Review. 2000. Vol. 65. No. 2. P. 256-278.
The prevalence of nonstandard jobs is a matter of concern if, as many assume, such jobs are bad. We examine the relationship between nonstandard employment (on-call work and day labor, temporary-help agency employment, employment with contract companies, independent contracting, other self-employment, and part-time employment in "conventional" jobs) and exposure to "bad" job characteristics, using data from the 1995 Current Population Survey. Of workers age 18 and over, 31 percent are in some type of nonstandard employment. To assess the link between type of employment and bad jobs, we conceptualize "bad jobs" as those with low pay and without access to health insurance and pension benefits. About one in seven jobs in the United States is bad on these three dimensions. Nonstandard employment strongly increases workers' exposure to bad job characteristics, net of controls for workers' personal characteristics, family status, occupation, and industry. Reprinted by permission of the publisher.
Опубликовано на портале: 29-05-2004Leslie McCall American Sociological Review. 2000. Vol. 65. No. 2. P. 234-255.
The new inequality is often characterized by the increasing wage gap between workers with a college education and those without. Yet, although the gap in hourly wages between college-educated and non-college-educated women is high and rising, the topic has been overshadowed by research on gender inequality and wage inequality among men. Using the 1990 5-percent Public Use Microdata Samples, independent sources of macro data, and controls for individual human capital characteristics, I examine the association between the college/non-college wage gap and key aspects of local economic conditions for women and men. While the college/non-college wage gap among women is comparable in size to the gap among men, significant gender differences emerge in the underlying sources of high wage gaps in over 500 labor markets across the United States. Compared with men, flexible and insecure employment conditions (e.g., joblessness, casualization, and immigration) are more important in fostering high wage gaps among women than are technology, trade, and industrial composition, the prevailing explanations of rising wage inequality over time. Based on these gender differences, I reconsider the debate on labor-market restructuring and inequality and discuss a new analytical focus on differences in within-gender inequality.