This paper documents that the dynamics of occupational segregation are highly nonlinear and exhibit tipping patterns. Occupations experience discontinuous declines in net male employment growth at tipping points ranging from 25% to 45% (from 13% to 30%) female in white-collar (blue-collar) occupations from 1940 to 1990. These patterns appear consistent with a Schelling (1971) social interaction model where tipping results from male preferences toward the fraction female in their occupation. Supporting the model’s predictions, evidence from the General Social Survey indicates that tipping points are lower in regions where males hold more sexist attitudes toward the appropriate role of women.

We examine causes and consequences of relative income within households. We show that the distribution of the share of income earned by the wife exhibits a sharp drop to the right of 12 , where the wife’s income exceeds the husband’s income. We argue that this pattern is best explained by gender identity norms, which induce an aversion to a situation where the wife earns more than her husband. We present evidence that this aversion also impacts marriage formation, the wife’s labor force participation, the wife’s income conditional on working, marriage satisfaction, likelihood of divorce, and the division of home production. Within marriage markets, when a randomly chosen woman becomes more likely to earn more than a randomly chosen man, marriage rates decline. In couples where the wife’s potential income is likely to exceed the husband’s, the wife is less likely to be in the labor force and earns less than her potential if she does work. In couples where the wife earns more than the husband, the wife spends more time on household chores; moreover, those couples are less satisfied with their marriage and are more likely to divorce. These patterns hold both cross-sectionally and within couples over time.

It is well established that consumption is “hump” shaped over an individual's lifecycle, peaking in middle age and then declining in the years that follow. Prior research has documented that consumption declines at retirement, which is inconsistent with the standard lifecycle model with consumption smoothing. Using a unique dataset with detailed administrative records of credit and debit card transactions, we show the hump shaped lifecycle consumption pattern as documented in the literature. Additionally, we show compositional changes in consumption expenditures across individuals in the years surrounding retirement confirming the results of Aguiar and Hurst (2005, 2013).