Artificial Intelligence (AI) technology has rapidly advanced over the past two decades, most recently with the swift spread of generative AI tools that began in late 2022. Yet, empirical evidence on the impact of AI on labor market outcomes remains sparse and largely prospective.

The influx of Chinese imports in the early 2000s led to declines in manufacturing jobs, labor force participation, wages, marriage rates, and fertility. While the economic effects of these trade-induced disruptions on labor markets are well documented, less is known about their intergenerational impacts on households.

Research about the impacts of minimum wage increases on workers has primarily relied on analysis of point in time data or data over short periods of time. Economists Sari Kerr and William Kerr will investigate the medium- and longer-term effects of state minimum wage increases on worker career trajectories.

Parole candidates with similar characteristics can receive different outcomes. Prior research has shown a high degree of arbitrariness in California parole-release decisions. Sociologist AJ Alvero, legal scholar and economist Ryan Sakoda, legal scholar Kristen Bell, and data scientist Jake Searcy will use machine learning tools to better understand the decision-making process during parole proceedings in California. They will analyze transcripts from California parole-release hearings from 2007 through the present for their study.