Intermediate Microeconomic Theory (ECN 312)
Arizona State University
I am a PhD candidate in Economics at Arizona State University and am on the 2026–27 academic job market.
My research interests lie at the intersection of macroeconomics, energy economics, and environmental economics. My job market paper studies the macroeconomic and environmental costs of renewable policy uncertainty in the U.S. green energy transition. I build a dynamic spatial general-equilibrium model and compute transition paths under permanent and stochastic renewable subsidies. I find that, relative to a budget-neutral stochastic subsidy, a permanent subsidy adds 13% more renewable capacity, avoids $321 billion in climate damages, and generates a $208 billion present-value welfare gain.
In 2026, I was an AEA Summer Fellow at the Washington Center for Equitable Growth and had previously spent Spring 2025 as a visiting PhD student at New York University. I hold a double B.A. in Economics from the New Economic School and the Higher School of Economics.
Job Market Paper
Federal subsidies for wind and solar are a central instrument of U.S. electricity-sector decarbonization, yet their availability has historically been uncertain. I study the macroeconomic and environmental costs of renewable policy uncertainty in a dynamic spatial general-equilibrium model with stochastic subsidies and irreversible generation capital. I compute counterfactual transition paths under a permanent subsidy and a budget-neutral stochastic subsidy that switches on and off. Relative to the stochastic policy, the permanent subsidy produces 13% more renewable capacity and reduces cumulative electricity sector CO2 emissions by 3.2% (2.29 Gt), avoiding $321 billion in climate damages and generating a present-value welfare gain of $208 billion. Most of the emissions difference comes from existing coal and gas plants generating more when renewable investment is delayed during subsidy lapses. The effects are largest in regions such as the Midwest, where the subsidy changes whether new renewable capacity is built and existing fossil plants can fill the generation gap during a lapse.
Paper (PDF)Submitted to the Quarterly Journal of Economics
Freight transported by heavy-duty trucks generates carbon, local pollution, congestion, accident, and pavement damages along their routes. This paper quantifies the spatial externalities of trade and the welfare effects of state and federal diesel taxes. I develop a multi-commodity open-economy trade model that follows each trade flow through the U.S. highway network, allocating emissions, damages, and tax revenue to every state and county it crosses. Using Freight Analysis Framework shipment data and web-scraped diesel prices, I estimate freight responses to fuel costs and compute counterfactuals. Increasing the federal diesel tax to its 1993 real value avoids more than $700 million in damages over 2018–2024, with pavement damage generating the largest benefit. Most benefits occur in corridor states that freight passes through, and part of the welfare cost is borne by foreign buyers of U.S. exports. A unilateral state diesel tax creates large spillovers: when New Mexico raises its tax to California’s level, national pollution falls, but freight shifts to alternative corridors, increasing externalities in neighboring states. These findings highlight the importance of coordinating state and federal diesel tax policies.
Paper (PDF)with Nicholas Vreugdenhil · Submitted to the American Economic Review
We identify a new channel for regulatory leakage: the “permitting channel.” In many settings, permits lock in the regulatory regime at approval, allowing firms to acquire the option to invest under current rules. Unlike the conventional Green Paradox response, this channel operates without accelerating physical investment and pollution. We develop a framework in which firms can use real options to avoid anticipated regulation. We estimate the framework using Colorado’s oil and gas reforms, where permits surged before regulation but drilling did not. Policy-relevant designs that remove the permitting channel substantially reduce the health risks from pollution despite amplifying anticipatory investment.
Paper (PDF)with Wyatt Brooks
The Amazon Rainforest provides substantial environmental benefits but also occupies land with valuable productive uses. We study the local economic effects of restricting deforestation when land-intensive agriculture imposes negative externalities on other economic activity. We develop a model in which households allocate labor between agriculture and fishing, and deforestation for agriculture reduces fishing productivity through soil erosion and runoff. Empirically, we exploit the asymmetric relaxation of environmental enforcement during the Bolsonaro administration, which affected federal but not state jurisdictions. Using a spatial regression discontinuity design across federal-state boundaries, we find that deforestation increased significantly more within federal reserves. Novel village-level data show that this deregulation reduced local income. We find that the gains from agricultural expansion are outweighed by productivity losses in fishing, implying that deforestation restrictions can generate both environmental and local economic benefits.
Arizona State University
One of Russia’s leading high schools in mathematics. Taught a university-level economics curriculum; 6 students (one third of the class) won national awards at the All-Russian High School Olympiad in Economics. Helped build the mathematics–economics track from scratch, led 8th-grade admissions for four years, and designed and directed a two-week camp for 100 students, hiring and managing its instructors.
Coached Moscow’s team, the strongest in the country, for the national final of the All-Russian High School Olympiad in Economics, and taught at 10+ intensive training camps across Russia.