Assistant Professor (Senior Lecturer)
Welcome to my webpage!
I obtained my Ph.D. in Economics from the University of Western Ontario in 2024. I was previously a Postdoctoral Scholar at the University of Chicago's Market Shaping Accelerator (MSA), part of the Development Innovation Lab (DIL). I am primarily interested in Empirical Industrial Organization and Environmental/Energy Economics.
In my work, I strive to understand how markets respond to policies aimed at reducing emissions and various challenges posed by anthropogenic climate change. I have studied the role of fuel substitution as part of firms' cost of abatement, carbon leakage, and the organization of pipeline networks.
Research Interests
Empirical Industrial Organization
Production function estimation
Firm dynamics
Energy and Environmental Economics
Energy efficiency and fuel substitution
Pipelines infrastructure
Applied Econometrics
Education
Ph.D. in Economics - University of Western Ontario
MA in Economics - Carleton University
Bachelor of Arts in Economics and Political Science - Université de Montréal
Languages
English (fluent)
French (native)
Research Report
Job market paper
Lasserre-Renzetti Prize for Best Student Paper — 2023 Canadian Resource and Environmental Economics Association Conference (CREEA)
Graduate Student Paper Award (runner-up), Bank of Canada, 2023
Presented at Society of Economic Dynamics (SED, 2024 Barcelona) University of Toronto (2024), University of Melbourne (2024), University of Virginia (2024), University of Stavanger (2024), King's University College (2023, London Ontario), the 2023 Canadian Resource and Environmental Economics Association Conference (CREEA, Ottawa), the 2023 EEA-ESEM Congress (Barcelona), the 2023 European Association for Research in Industrial Economics (EARIE, Rome), the 57th Annual Conference of the Canadian Economics Association (Winnipeg), UM-UWO-MSU Labo(u)r Day (2023, East Lansing), the 21st Annual International Industrial Organization Conference (IIOC 2023, Washington DC), Young Economist Symposium (2022, Yale University), the 56th Annual Canadian Economics Association Meetings (2022, Ottawa), and the 17th CIREQ PhD Students' Conference (2022, Montreal).
In many industries, the cost of abating emissions depends on firms' ability and incentives to switch to cleaner fuels. I develop a dynamic production model that recovers heterogeneous marginal abatement costs from plant-level production and fuel-use decisions. Due to historical investments, plants differ in how productively they can use different fuels. They also differ in the set of fuels they use, but can pay fixed costs to change their fuel sets. I estimate the model using detailed panel data from Indian steel plants, leveraging minimal assumptions about optimal input choice and the technology frontier. Heterogeneity in fuel productivity creates technology lock-in within plants but flexibility across plants. Implementing a carbon tax that reduces emissions by 50 percent would reduce producer and consumer surplus by 4%, compared with 7% when fuel-specific productivity heterogeneity is ignored. The lower cost of reducing emissions arises because plants with a comparative advantage at using cleaner fuels are less exposed to the tax and become relatively more competitive, reallocating output away from coal-intensive producers. Output reallocation accounts for 60% of the aggregate emissions decline, whereas within-plant fuel switching accounts for only 15% of emissions reductions under carbon pricing.
Journal of Environmental Economics and Management — Forthcoming (Vol 136, February 2026)
Winner of summer paper prize - Western Economics department
Presented at the 55th Annual Canadian Economics Association Meetings (2021, remote)
This paper examines how plants adjust their production in response to asymmetric carbon pricing. When plants compete across areas, asymmetric regulation can lead to carbon leakage, shifting emissions from regulated to unregulated areas. I build a production model with multiple fuel inputs, imperfect competition, and region-specific carbon taxes. Using publicly available Canadian plant-level data on a wide range of air pollutants, I invert the chemical reactions from combustion to back out plants’ fuel usage. I then estimate the model by exploiting variation in the British Columbia (B.C.) and Quebec carbon taxes, which were implemented in 2008 and 2007, respectively. Findings indicate substantial emissions reductions in British Columbia, with 95 % confidence intervals ranging from 7 % to 48 %, and no reduction in Quebec. Contrary to theoretical predictions of carbon leakage, the analysis reveals no statistically significant shift in production toward unregulated provinces. A detailed decomposition reveals that the absence of leakage was primarily due to the regulated plants’ ability to absorb the tax by switching from oil to natural gas and by reallocating output from dirtier to cleaner plants within British Columbia.
Joint with Yanyou Chen and Adam Wyonzek
Presented at the 2024 Canadian Economic Association Conference (CEA, Toronto), Western University, Department of Economics (2023, Brown Bag),
Joint with Costas Arkolakis and Cheolhwan Kim
Joint with William Arnesen, Manpreet Singh, Alexander Slaski, Christopher M. Snyder, Eric Trueswell, and Rachel Glennester
This research uses the method developed by Huang and Salmon (2004) to estimate market herding dynamics in a CAPM framework, exploiting time variation in betas and cross-sectional dispersion of individual assets. Their model is adapted to the cryptocurrency market in order to shed some light on the recent surge in prices and volatility. Using high-frequency data at 5-minute intervals, I find significant evidence of increasing market herding over the high volatility period between August 2017 and March 2018.
DOI: 10.13140/RG.2.2.26154.11204