We examine the differential effects of automation on the labor market and educational outcomes of women relative to men over the past four decades. Although women were disproportionately employed in occupations with a high risk of automation in 1980, they were more likely to shift to high-skill,...

Of great importance to the future World economy is the future labor force of Asia, as Asia is by far the most populous region in the World. Expected future levels of education, very young and youth population, youth employment and unemployment, dependency rates, human capital per capita, and the...

Amidst the rise of remote work, we ask: what are the effects of proximity to coworkers? We find being near coworkers has tradeoffs: proximity increases long-run human capital development at the expense of short-term output. We study software engineers at a Fortune 500 firm, whose main campus has...

This paper aims to identify the sources of human capital growth for the observation period 1990-2020 by region, gender and various determinants. It is a preliminary version of a forthcoming Inclusive Wealth Report 2023 (UNESCO and Urban Institute of Kyushu University) report. It focuses on five...

The recession induced by the COVID-19 pandemic resulted in major declines in employment of women, both from the demand side as firms reduced employment and from the supply side resulting from school closures and the closing of many child care facilities. We provide projections of possible...

We examine the effect of attending stand-alone technical high schools on the industry of employment and within industry earnings premiums using a regression discontinuity design. We study the universe of students that applied to the Connecticut Technical Education and Career System (CTECS)...

We provide the first systematic account of summer declines in women's labor market activity. From May to July, the employment-to-population ratio among prime-age US women declines by 1.1 percentage points, whereas male employment rises; women's total hours worked fall by 9.8 percent, more than...

Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

We measure the impact of the initial Indian national COVID-19 lockdown on digital activity using browser histories of 1,094 individuals, spanning over 31.5 million website visits on computers and mobile devices. Reflecting the predicted increase in the value of online activity, both men and...

Many observers argue that diversity in Economics and STEM fields is critical, not simply because of egalitarian goals, but because who is in a field may shape what is studied by it. If increasing the rate of majoring in mathematically-intensive fields among women is a worthy goal, then...