Although there have been numerous analyses of racial discrimination in professional sports, none have analyzed football coaching. Analyses of the regular season win records, and of making the playoffs, for National Football League (NFL) teams coached by both African Americans and Whites between 1990 and 2002 show that African American coaches were more successful. The analyses make racial comparisons for overall season records, records in the first year, and records in the year of an involuntary departure for the coach. There is evidence that teams that hire African American coaches are better than those that hire White coaches. Analyses that consider team quality effects also find significantly better performance by African Americans. African American coaches have been insignificantly less successful in the playoffs, however. Overall, the results are consistent with African American coaches being held to higher standards to get their jobs in the NFL.
After developing a longitudinal data-base of civil divisions within 27 large metropolitan areas (MSAs) from the 1970-1990 US censuses, this study examines changes in the spatial concentration of income and poverty within these MSAs. A series of cross-sectional analyses of geographical and social determinants of poverty rates and median household income are used to analyse whether the determinants are changing over time. Large, older central cities in the north-east and mid-west have experienced increasing poverty and decreases in income relative to their own history and relative to their own suburbs. There is some evidence of economic decline in the inner suburbs of these central cities relative to other suburbs, but not relative to the central cities. The geographical shifts in MSA population among suburbs by income between 1970 and 1990 are analysed relative to initial social characteristics of civil divisions. The study concludes that the filtering of older residential buildings to, and the lower marginal preference for land of, lower-income groups contributes to the rising poverty rates and decreases in median household income for all central cities and for the inner suburbs of the north-eastern and mid-western MSAs. The study finds little evidence that either 'white flight' or the non-poor's avoidance of taxes to support the poor are important factors in the shifts of population among suburbs.
It has been argued that greater spatial constraints are imposed on the job searches of women workers and that these greater constraints account for some of the gender wage gap. All researchers agree that women commute shorter distances to work than men. In addition, some researchers have argued from indirect evidence that two-earner households give greater weight to husbands' job opportunities when choosing a residential location. In this paper, we use data on two-earner households from the 1980 Public Use Microdata Sample (PUMS) of the US Census for the Detroit and Philadelphia SMSAs to quantify the effects of residential location and of gender differences in commuting behaviour on the gender gap in wages. First, we find that within white households wives encounter relatively greater spatial variation in wages than their husbands but that there is less of a gender difference among black households. Second, we analyse the simultaneous effects of commuting and residential constraints on wages. We find for both cities, and for both blacks and whites, that the gender wage gap is not changed in any significant way by altering women's intrametropolitan residential and job locations.
Organizational mechanisms, and their contexts, leading to gender inequality among stockbrokers in two large brokerages are analyzed. Inequality is the result of gender differences in sales, as both firms use performancebased pay, paying entirely by commissions. This paper develops and tests whether performance-support bias, whereby women receive inferior sales support and sales assignments, causes the commissions gap. Newly available data on the brokerages' internal transfers of accounts among brokers allows measurement of performance-support bias. Gender differences in the quality and quantity of transferred accounts provide a way to measure gender differences in the assignment of sales opportunities and support. Sales generated from internally transferred accounts, controlling for the accounts' sales histories, provide a "natural experiment" testing for gender differences in sales capacities. The evidence for performance-support bias is: (1) women are assigned inferior accounts; and (2) women produce sales equivalent to men when given accounts with equivalent prior sales histories.
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