I am a Ph.D. candidate in economics at the University of Connecticut. I have research interests in health economics, labor economics, and public policy. I am deeply committed to producing research that can effectively inform public policy decisions about key health issues, using the most cutting-edge econometrics techniques. I will be available for interviews for the 2025-2026 job market.
Ph.D. in Economics, May 2026 (Expected)
University of Connecticut
M.A. in Public Policy & Administration, 2018-2020
University of Massachusetts - Amherst
B.A. in Film, 2003-2008
Middlebury College
Amid the ongoing liberalization of state recreational marijuana laws (RMLs), the National Institutes of Health has expressed concern that expanded marijuana access may elevate the prevalence of schizophrenia and psychotic disorders across the United States. This study presents one of the first causal estimates of the impact of RMLs on the incidence of schizophrenia and other psychotic disorder treatment intakes. Leveraging a generalized difference-in-differences framework to exploit the staggered rollout of RMLs, I first document that the passage of RMLs with recreational dispensaries generates a 20% increase in the rate of prior-month marijuana use in treated states relative to controls. Next, I show that RML adoption with dispensaries leads to a 12% increase in the incidence of schizophrenia and other psychotic disorder intakes at state-sponsored mental health facilities nationwide.
A near majority of states have now passed recreational marijuana laws (RMLs), but their impact on individual employment outcomes is unclear. Using CPS ASEC 2002–2022, this study estimates the effect of RMLs on workplace absenteeism via difference-in-differences exploiting staggered state adoption. I first replicate prior work showing adult marijuana use rises after passage and dispensary openings. I then find workplace absence rates increase by ~10% following recreational dispensary openings. Time-use auxiliary analyses indicate substitution from work to leisure in the post-treatment period. Results are robust to alternative specifications, event-study analyses, and modern DiD estimators that address heterogeneity bias.
Average instructor rating: 4.8/5
Instructor of Record: Summer 2025
Instructor of Record: Spring 2025, Fall 2025
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Instructor of Record: Spring 2024, Fall 2024
Select Feedback: “Hello Matt, I hope this email finds you well. I wanted to take a moment to thank you for the impactful and engaging experience I had in your Economics W class. I truly appreciated how you emphasized real-life applications of the concepts we covered and learning how to write well.”
Teaching Assistant: Spring 2023
Teaching Assistant: Spring 2023
Teaching Assistant: Fall 2022
Teaching Assistant: Fall 2021, Spring 2022