The Global Economic Mismatch: High Technology and Low Pay.

Hallock, Margaret; Schechter, Henry B.

doi:10.2307/2524793

Cited by 2 publications

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“…C The typology of research and development intensive industries was compiled by Hallock, Hecker, and Gannon (1991) and includes computer and data processing, engineering and architectural services, research and testing, management and public relations, miscellaneous professional services, and financial investment and securities. fUll-time,7 are not self-employed or farm Workers, and earn hourly wages between $1.00 and $250.00.…”

Section: Model and Datamentioning

confidence: 99%

Sources of Racial Wage Inequality in metropolitan labor markets: Racial, Ethnic, and Gender Differences

McCall

2001

Am Sociol Rev

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Research on racial inequality has become increasingly specialized, often focusing on a single explanation and subgroup of the population. In a diverse society, a broader comparative framework for interpreting the causes of wage inequality for different racial, ethnic, and gender groups is called for. The effects of a range of different factors on the wages of Latinos, Asians, and blacks, relative to whites and separately for women and men, are examined. New sources of racial wage inequality are also considered. Significant differences are found in the sources of wage inequality across race, ethnicity, and gender. Differences are generally greater between racial and ethnic groups than between men and women. Key findings include a large negative effect of immigration on the relative wages of Latinos and Asians and only a small effect on the relative wages of black women (and no effect on black men). In contrast, the relative wages of blacks remain most affected positively by the presence of manufacturing employment and unions. New economy indicators of high-skill services and flexible employment conditions play only a secondary role in explaining metropolitan racial wage inequality.

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Section: Model and Datamentioning

confidence: 99%

Sources of Racial Wage Inequality in metropolitan labor markets: Racial, Ethnic, and Gender Differences

McCall

2001

Am Sociol Rev

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“…From the latter data set, which provides population coverage of the location and em-ployment size of manufacturing establishments by 4-digit SIC groups, two variables were constructed to measure the number of high-technology and import-sensitive manufacturing establishments as a share of total manufacturing establishments in each county (U.S. Department of Commerce 1994a). High technology and import sensitive industries were selected based on levels of research and development (gathered by the National Science Foundation) and import/ export ratios in 4-digit SIC industries (Bednarzik 1993;Hallock, Hecker, and Gannon 1991;Riche, Hecker, and Burgan 1983;Schoepfle 1982). Strober and Arnold (1987) and Castells (1989), among others, use Riche et al's (1983) typology of high technology industries, which also includes service industries.…”

Section: The Datamentioning

confidence: 99%

Gender and the New Inequality: Explaining the College/Non-College Wage Gap

McCall

2000

Am Sociol Rev

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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.

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The Global Economic Mismatch: High Technology and Low Pay.

Cited by 2 publications

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Sources of Racial Wage Inequality in metropolitan labor markets: Racial, Ethnic, and Gender Differences

Sources of Racial Wage Inequality in metropolitan labor markets: Racial, Ethnic, and Gender Differences

Gender and the New Inequality: Explaining the College/Non-College Wage Gap

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