Brian Asquith is an applied microeconomist specializing in labor, urban/regional, and public economics. Research interests include the aging of the American workforce, machine learning applications in economics, housing and rent control, and the decline of mobility in the United States.
Asquith’s dissertation includes one paper on housing regulations and mobility, one on rent control, and one on grandchildren’s influence on their grandparents’ labor force attachment. The rent control paper won two national awards, including the American Real Estate and Urban Economics Association (AREUEA) Homer Hoyt Best Dissertation Prize. A short excerpt will appear in the 2019 edition of AEA Papers and Proceedings. Currently, he is researching why older workers, who are facing rising financial distress and job displacement, are increasingly less likely to relocate, as well as work on trade and employment, and the long-run consequences of anti-poverty policies on disadvantaged neighborhoods.
Asquith joined the Upjohn Institute in 2018 after being an Alfred E. Sloan postdoctoral fellow at NBER. Asquith received his PhD in economics from the University of California, Irvine in 2017 and studied mathematics and economics at Brandeis University as an undergraduate.