This chapter presents the results of multinomial logistic regression analyses, assessing the impact of the variables on the different underemployment outcomes. Unemployment of women appears to be most prevalent in the manufacturing sector compared to any other industry as evidenced by the significant negative relationship of almost all the other industries when compared to manufacturing. The classical Labor Utilization Framework categorization considered only involuntary part-time work as evidence of underemployment. Education did not play a significant role in determining working poor status except for white and Filipino women in 1990, and it had a slightly significant effect for Indian women in 1980. Job mismatch appears to be the exclusive experience of the highly educated— those that at least finished college. Self-employment is the only human capital variable that proved to be significant across all groups, and appears to be a more important determinant of working poverty in 1990 than in 1980.