I argue that both the dominant models of the relationship between earnings and housework, economic dependence and gender display, have fundamental defects. They focus on the effect of women’s earnings compared to their husbands’ on their housework and ignore the possibility of an independent relationship between women’s own earnings and their time spent on housework. Using a sample of 914 married women employed full time from the second wave of the National Survey of Families and Households, I show that women’s housework is affected only by their own earnings, not by their husbands’, and not by their earnings compared to their husbands’. Further, I show that findings suggestive of dependence and display in earlier research are more simply explained in terms of women’s absolute rather than relative earnings. These results invalidate the dependence and display models of the relationship between earnings and housework time and suggest that married women have a substantial degree of economic autonomy in the areas of domestic life for which they are normatively responsible.

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We argue that earlier quantitative research on the relationship between heterosexual partners' earnings and time spent on housework has two basic flaws. First, it has focused on the effects of women's shares of couples' total earnings on their housework, and has not considered the simpler possibility of an association between women's absolute earnings and housework.Consequently it has relied on unsupported theoretical restrictions in the modeling. We adopt a flexible, nonparametric approach that does not impose the polynomial specifications on the data that characterize the two dominant models of the relationship between earnings and housework, the "economic exchange" and "gender display" hypotheses. Our nonparametric model allows the relationships among earnings shares, earnings, and time spent on housework to emerge from the data. A second problem with earlier studies is that they have tended to draw uniform inferences across the range of data, including regions where the data are sparse. This has led to interpretations of parametric curves that are driven by these thinly populated regions, and that may not be robust across the data. By contrast, our study explicitly assesses the reliability of results obtained in such regions. Our results provide support for an alternative model that emphasizes the importance of partners' own earnings for their housework, especially in the case of women. Women's own earnings are negatively associated with their housework hours, independently of their partners' earnings and their shares of couples' total earnings, which do not matter.2