I am a PhD Candidate in Economics at the University of Houston. Before starting my PhD I worked as an antitrust economist at the Federal Economic Competition Commission (COFECE) in Mexico. I also worked as an economist at the Mexican Social Security Institute (IMSS).
I am on the 2023-24 job market and available for interviews.
PhD in Economics, 2024 (expected)
University of Houston
MA in Economics, 2021
University of Houston
MA in Economics, 2015
BA in Economics, 2011
I study the preferences of consumers over different retail channels (drug stores, mass merchandiser, or grocery stores) for purchasing over-the-counter emergency contraceptives (EC). Using monthly EC sales in Texas from 2017 to 2019, I estimate consumer preferences using a BLP discrete choice model. My results show that consumers are sensitive to prices, and that they exhibit preferences for specific retail channels but not for branded vs generic products. To address recent policy debates, I conduct counterfactual simulations banning the sale of EC from grocery or mass merchandiser stores. I find that this would result in 5-8% increase in the number of consumers who do not buy EC.
We study the impact of distant connections on marijuana use. Leveraging the Facebook Social Connectedness Index, which measures the strength of connectedness between geographic areas based on Facebook friendship ties, we explore the impact of connections to states where recreational marijuana use is legalized on marijuana use and workplace drug testing positivity rates in areas where marijuana remains illegal. The findings reveal that areas which are more connected to legalized states exhibit higher rates of marijuana use and workplace drug testing positivity even after controlling for geographic proximity to the legalized states. The results suggest that even connections beyond closed proximity can play a significant role in shaping individuals’ behaviors. Our findings of the externality of legalization in one state to other more connected out-of-state areas imply that studies that estimate the impact of legalization using a standard difference-in-differences approach without taking into account the network underestimate the direct effect on the state that legalizes.