Differential Association, Multiple Normative Standards, and the Increasing Incidence of Corporate Deviance inan Era of Globalization

This paper examines with the use of aggregate data from the U.S. Department of Justicethe extent of contemporary white-collar crime as a consequence of multiple normative standards existing within corporations. Given the implications of globalization, the desire for increased profits, and the declining role of regulatory agencies across much of the world (save for Europe, Japan, Mexico and India), paper suggests that the incidence of corporate deviance is likely to increase in the foreseeable future.     

Comparative labor supply of black and white women

Conclusions The presence of young children decreases women’s labor supply as shown by the LFPRs for women with young children (which are always considerably lower than those for women without young children). Also, the number of young children is almost always negatively related to annual hours of labor supplied (significantly so in half the regressions). Black and white women are found to have an inelastic labor supply, but with increasing elasticity from 1969 to 1974. There is a statistically significant difference in the estimated regression coefficients of the labor supply model for black and white married women in 1969 and 1974 in both the arithmetic and logarithmic forms. The husband’s earnings are significantly negatively related to white married women’s annual hours of work in 1974, while the relationship is not significant for black married women. Crosselasticity terms show that white married women decrease their annual hours of work in response to an increase in husband’s earnings to a greater extent than black married women in 1971 and 1974. These results are consistent with the hypothesis that black women do not rely on their husband’s earnings to as great an extent as white women.     

A methodological note on diversity measurement

This research addresses the question, do categorical and continuous measures capture the same construct of diversity? Using analysis of variance, cluster analysis, and discriminant analysis, we investigated whether continuous measures (entropy and product count) differentiate between diversification categories, whether continuous measures converted to categories and subjectively assigned categories classified companies similarly, and whether continuous and categorical measures predicted similar diversity–performance relationships. We concluded that the techniques were associated but did not yield the same performance predictions. For researchers investigating diversity–performance relationships, choice of measurement technique will influence research results. Our research results suggest that attempts to combine categorical and continuous techniques as a way to overcome the limitations of both methods is not appropriate.