Dylan Brewer
Assistant Professor
- School of Economics
Overview
Dylan Brewer joined the faculty at the School of Economics in 2019. He received his PhD in Economics with a dual major in Environmental Science and Policy from Michigan State University in May 2019 as well as a Master of Arts degree in Economics from the same institution in 2016. Prior to his graduate studies, Dylan completed a Bachelor of Arts degree with majors in Economics and International Relations at the University of Virginia in 2014. Dylan's research uses the tools of applied econometrics and machine learning to answer questions in energy and environmental economics. He has published research on household energy consumption, the economics of thermostat settings, recycling, electricity demand, machine learning methodology, and air quality among other topics. He teaches courses on environmental economics at the graduate and undergraduate level, and his Principles of Microeconomics course has won awards at Georgia Tech.
- Ph.D., Michigan State University
- M.A., Michigan State University
- B.A., University of Virginia
- Energy Economics
- Environmental Economics
- Industrial Organization
- ECON-2106: Prin of Microeconomics
- ECON-4440: Economics of Environment
- ECON-4699: Undergraduate Research
- ECON-7103: Environmental Econ II
- PUBP-6312: Economics-Environ Polcy
Interests
Courses
- ECON-2106: Prin of Microeconomics
- ECON-4440: Economics of Environment
- ECON-4699: Undergraduate Research
- ECON-7103: Environmental Econ II
- PUBP-6312: Economics-Environ Polcy
Publications
Recent Publications
Journal Articles
- Do people listen when it matters? Estimating household responses to government requests to conserve energy using smart thermostat data
In: Journal of the Association of Environmental and Resource Economists [Peer Reviewed]
Date: 2025
- Is there a trade-off between forest expansion and agriculture? Evidence from India.
In: Land Economics [Peer Reviewed]
Date: 2025
Expansion of forest area through afforestation and reforestation is a popular strategy to mitigate climate change. However, the vast land area required suggests a potentially large tradeoff between forest expansion and agriculture. From 2003-2010, one of the largest forest expansion programs in India was implemented in Rajasthan state. Using a yearly, district-level panel from 1991 to 2017, we estimate the effects of this program on the agricultural sector using two-way fixed effects and synthetic difference-in-differences approaches. Perhaps counterintuitively, our findings indicate the program had no impact on cultivated area in Rajasthan, suggesting agriculture was not displaced by forests. We also find robust, statistically significant increases in total agricultural production and yield following the program’s implementation, which may have been partly driven by an increase in local rainfall or other ecosystem services resulting from increased forest cover. We discuss the implications of our findings for afforestation/reforestation as a climate mitigation strategy.
- The effect of extreme temperatures on evictions
In: Journal of Environmental Economics and Management [Peer Reviewed]
Date: November 2024
- Work from home, polarization, and new residential construction during COVID-19
In: Applied Economics Letters [Peer Reviewed]
Date: September 2024
- Addressing sample selection bias for machine learning methods
In: Journal of Applied Econometrics [Peer Reviewed]
Date: January 2024
All Publications
Journal Articles
- Do people listen when it matters? Estimating household responses to government requests to conserve energy using smart thermostat data
In: Journal of the Association of Environmental and Resource Economists [Peer Reviewed]
Date: 2025
- Is there a trade-off between forest expansion and agriculture? Evidence from India.
In: Land Economics [Peer Reviewed]
Date: 2025
Expansion of forest area through afforestation and reforestation is a popular strategy to mitigate climate change. However, the vast land area required suggests a potentially large tradeoff between forest expansion and agriculture. From 2003-2010, one of the largest forest expansion programs in India was implemented in Rajasthan state. Using a yearly, district-level panel from 1991 to 2017, we estimate the effects of this program on the agricultural sector using two-way fixed effects and synthetic difference-in-differences approaches. Perhaps counterintuitively, our findings indicate the program had no impact on cultivated area in Rajasthan, suggesting agriculture was not displaced by forests. We also find robust, statistically significant increases in total agricultural production and yield following the program’s implementation, which may have been partly driven by an increase in local rainfall or other ecosystem services resulting from increased forest cover. We discuss the implications of our findings for afforestation/reforestation as a climate mitigation strategy.
- The effect of extreme temperatures on evictions
In: Journal of Environmental Economics and Management [Peer Reviewed]
Date: November 2024
- Work from home, polarization, and new residential construction during COVID-19
In: Applied Economics Letters [Peer Reviewed]
Date: September 2024
- Addressing sample selection bias for machine learning methods
In: Journal of Applied Econometrics [Peer Reviewed]
Date: January 2024
- Habit and skill retention in recycling
In: Journal of Policy Analysis and Management [Peer Reviewed]
Date: November 2023
- Advances in Causal Inference at the Intersection of Air Pollution and Health Outcomes
In: Annual Review of Resource Economics [Peer Reviewed]
Date: October 2023
This article provides an overview of the recent economics literature analyzing the effect of air pollution on health outcomes. We review the common approaches to measuring and modeling air pollution exposures and the epidemiological and biological literature on health outcomes that undergird federal air regulations in the United States. The article contrasts the methods used in the epidemiology literature with the causal inference framework used in economics. In particular, we review the common sources of estimation bias in epidemiological approaches that the economics literature has sought to overcome with research designs that take advantage of natural experiments. We review new promising research designs for estimating concentration-response functions and identify areas for further research.
- Household responses to winter heating costs: Implications for energy pricing policies and demand-side alternatives
In: Energy Policy [Peer Reviewed]
Date: June 2023
- Changes in Electricity Use following COVID-19 Stay-at-home Behavior
In: Economics of Energy & Environmental Policy [Peer Reviewed]
Date: January 2023
- Equilibrium sorting and moral hazard in residential energy contracts
In: Journal of Urban Economics [Peer Reviewed]
Date: May 2022
- Do preferred thermostat settings differ by sex?
In: Energy and Buildings [Peer Reviewed]
Date: October 2020