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.
You can find a copy of my CV here.
We study the impact of trade disruptions at different stages of development in a two-country, three-sector model of Spain and the UK from 1850 to 2000.
Conditionally Accepted at International Economic Review
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 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