Matt Delventhal
Welcome!
I am a quantitative researcher with a formal training in Economics. I have taught courses in Macroeconomics, Urban Economics, and Matlab at Claremont McKenna College and the Universitat Autònoma de Barcelona. I am currently a Senior Data Scientist working on Real Estate Markets and Large Language Models at CoreLogic.
Recently I have investigated the Spatial Implications of Telecommuting and the historical progress of Demographic Transitions Across Time and Space.
You can find a copy of my CV here.
- Future of (tele-) commuting
- Diffusion of demographic change
- Computable transport networks
- Machine learning
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Ph.D. in Economics, 2018
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M.A. in Economics, 2014
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B.S. in Economics, 2010
Featured Research
We use a quantitative model to explore the implications of increased remote work for the U.S. urban landscape. Our framework robustly predicts changes in residents observed 2020-2021. We use our model to evaluate two competing interpretations of the 2020 remote work shock, and conclude the change in preferences was more important than the change in technology.
Media: LA Times, Skift, Fast Company, Wallethub
We use a quantitative model to explore the impact of increased remote work on the location of jobs and residents, real estate prices, and traffic congestion in the Los Angeles metro area.
Media: LA Times, Time Magazine, USC Tommy Talks, USC Marshall News, Academic Times, Fast Company
We compile a data set of birth and death rates for 186 countries spanning more than 250 years. We document that (i) a demographic transition has been completed or is ongoing in nearly every country; (ii) the speed of transition has increased over time; and (iii) having more neighbors that have started the transition is associated with a higher probability of a country beginning its own transition. To account for these observations, we build a quantitative model in which parents choose child quantity and educational quality.
Media: The Economist, El Confidencial, The Public Discourse, Penn’s Exchange
Research
Media: LA Times, Skift, Fast Company, Wallethub
Media: LA Times, Time Magazine, USC Tommy Talks, USC Marshall News, Academic Times, Fast Company
Media: The Economist, El Confidencial, The Public Discourse, Penn’s Exchange
