Claudia Senik

The traditional specialization of men in paid work and women in housework is rooted in the spatial separation of these activities. We examine the possible consequences of the recent expansion of Work from Home (WfH) for the gendered allocation of time. We focus on the time devoted to housework by men and women who work from home versus at the workplace, before and after the Covid pandemic. Using data on several thousand workers drawn from the American Time Use Survey, we find that the gender gap in unpaid work has declined by about 27 minutes per day, i.e. by about 40% for remote workers. Among those, women now spend more time on paid work and less on unpaid work, whereas men do more household chores.

We study vertical transmission and societal diffusion of gender norms using the large immigration wave from the former Soviet Union (FSU) to Israel in the early 1990’s. Tracking the educational choices of an entire cohort, born in 1988–89, we compare gender gaps among immigrants from the FSU versus natives and immigrants from other countries. We find smaller gender gaps among FSU immigrants in both traditionally male-dominated STEM fields and female-dominated pink collar jobs, e.g., education and social work. These patterns are largely driven by the behavior of FSU women and are not explained by early achievement levels or comparative advantage. Leveraging variation in the concentration of FSU immigrants across middle schools, we find that among natives, gender gaps narrow with the exposure to FSU immigrants, reflecting a shift in the choice patterns of native women towards STEM and away from pink collar fields.

We revisit the Easterlin paradox about the flatness of the happiness trend over the long run, in spite of sustained economic development. With a bounded scale that explicitly refers to “the best possible life for you” and “the worst possible life for you”, is it even possible to observe a rising trend in self-declared life satisfaction? We consider the possibility of rescaling, i.e. that the interpretation of the scale changes with the context in which respondents are placed. We propose a simple model of rescaling and reconstruct an index of latent happiness on the basis of retrospective reports included in unexploited archival data from the USA. We show that national well-being has substantially increased from the 1950s to the early 2000s, on par with GDP, health, education, and liberal democracy. We validate our new index on several datasets, and find that it captures important changes in personal life circumstances over and above nominal life satisfaction. Our model sheds light on several well-documented happiness puzzles, including why life satisfaction did not drop during the COVID-19 pandemic, why Ukrainians report similar levels of life satisfaction today as before the war, and why people take life-changing decisions -like having kids -that seem to make them less happy.