معرفی
Eric Osborne is an Assistant Professor in the Department of Economics at Pace University's Dyson College of Arts and Sciences, with a PhD from The City University of New York (CUNY). Starting Fall 2025, he will join the Department of Economics at Sacred Heart University. His research focuses on applied microeconomics, particularly labor economics, health economics, and urban economics, with an emphasis on marginalized populations and policy impacts.
- PhD, Economics, City University of New York, 2020
- MA, Economics, City University of New York, 2017
- MA, Economics, University of Colorado - Boulder, 2013
- BA, Business Economics, Seattle University, 2009
His research explores critical issues such as mental health and academic performance, the economic effects of daylight saving time, racial bias in decision-making, and childcare impacts on female labor force participation. He frequently uses quasi-experimental methods like regression discontinuity and fixed effects models.
His publications appear in top journals including Journal of Law and Economics and Health Economics, and his recent work has been featured in media outlets like the Boston Globe and Deseret News. A recurring theme across his research is the impact of structural and policy shocks on vulnerable groups.
Eric Osborne has presented his work at major academic conferences such as the Allied Social Science Associations, Eastern Economic Association, and Washington University Law and Economics Seminar. He is also the co-director of Pace University’s Conference on Women's Health and Labor Outcomes, which fosters interdisciplinary dialogue on gender, health, and economic policy.
- In-group Favoritism and Peer Effects in Wrongful Acquittals: NBA Referees as Judges (2024)
- Mental Health and Academic Outcomes: Evidence from Honors College Students (2023)
- Saving Daylight, Losing Lives: The Impact of Daylight Saving Time on Deaths from Suicide and Substance Abuse (2022)
He has taught over 60 courses across 13 subjects, including Principles of Economics, Econometrics, and Time Series Analysis, at both undergraduate and graduate levels. His teaching evaluations highlight his clarity, accessibility, and dedication to student success.
