Individual, structural, and gender perspectives were applied to examine the wage gap between men and women. This study uses data from the American Time Use Survey of 2006, a supplement to the Current Population Survey. The results of this study reveal a median wage gap of 71.2%. Net of other factors, being female resulted in a loss of $71.31 per week. Removing each model segment separately reveals that the structural perspective explains the largest portion of variance in the dependent variable of weekly income. Research limitations and possible policy implications to reduce the wage gap are included in the conclusion section.