This study examines the effect of availability of accredited childcare centers, the most popular category of publicly licensed childcare centers in Japan, on mothers' employment and earnings. We focus on mothers with children less than two years old, most of whom are returning from parental...

Monitoring soil quality provides indispensable inputs for effective policy advice, but very few poorer countries can implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil quality indicators. The estimation results validate...

We expand the analysis of cyclical changes in labor demand by decomposing changes along the intensive margin into those in days/week and in hours/day. Using large cross sections of U.S. data, 1985-2018, we observe around ¼ of the adjustment in weekly hours occurring through changing days/week....

We study the adoption of ChatGPT, the icon of Generative AI, using a large-scale survey experiment linked to comprehensive register data in Denmark. Surveying 100,000 workers from 11 exposed occupations, we document ChatGPT is pervasive: half of workers have used it, with younger, less...

I analyze Dutch panel data that contains rich information on voting, political opinions, and personality traits. I show that "adversarial" preferences - competitiveness, negative reciprocity, distrust, and selfishness - are strong predictors of right-wing and populist political preferences....

This paper identifies conceptual, methodological, and empirical flaws in the first African Entrepreneurial Ecosystem Index (AEEI) that was launched in 2024. These flaws limit the usefulness of the AEEI. Moreover, given that the both the notions of entrepreneurial ecosystems and composite indices...

A growing body of work has shown that aggregate shocks affect the formation of preferences and beliefs. This article reviews evidence from sociology, social psychology, and economics to assess the relevance of aggregate shocks, whether the period in which they are experienced matters, and...

We unbox developments in artificial intelligence (AI) to estimate how exposure to these developments affect firm-level labour demand, using detailed register data from Denmark, Portugal and Sweden over two decades. Based on data on AI capabilities and occupational work content, we develop and...

Most definitions of algorithmic bias and fairness encode decisionmaker interests, such as profits, rather than the interests of disadvantaged groups (e.g., racial minorities): Bias is defined as a deviation from profit maximization. Future research should instead focus on the causal effect of...

Residency by Investment programs have become integral to contemporary migration policies, providing a distinct pathway for individuals to acquire a new legal status through financial investments. In this paper, we study the extent to which "golden visas" impact real estate housing markets. Using...