"Bounding High Dimensional Comparative Statics"
Econometrica (Revise and Resubmit)
I derive novel, sharp bounds on comparative statics that depend only on low dimensional sufficient statistics and are analytically simpler. I require only that the Jacobian is diagonally dominant, which is widely satisfied in economics. I use the results to bound peer effects and the gains from trade liberalizations without bilateral network or trade data.
"Diet, Economic Development and Climate Change", with Lucas Correa and Heitor Pellegrina
The Economic Journal (Revise and Resubmit) OSF Preprint
We incorporate the nutrition transition and agricultural modernization into a quantitative trade model, quantify their implications for GHG emissions, and simulate diet and trade policy responses.
"A Many-Location Home Market Effect and a Home Biased Geography"
Journal of International Economics (Mar, 2025)
Developed in the 1980s, the Home Market Effect predicts net exports in industries with large domestic demand. Yet theoretically this relation has been mostly confined to two-location or symmetric models. I generalize this to arbitrary geographies and reveal a novel connection with a home biased geography.
"Ride-Sharing and the Geography of Consumption Industries", with Heyu Xiong
The Economic Journal (Aug, 2023)
Exploiting both the staggered entry across cities and the precise geographic boundary of Uber services, we find that Uber’s entry into a city caused significant growth in the consumption industries. We provide evidence consistent with Uber increasing consumer mobility by reducing the economic cost of travel.
Works-in-Progress (Selected)
"Spatial Wage Inequality within the Firm", with Wifag Adnan
Presentations: (2024) Purdue, (2023) U of Kent, SOLE Meeting, (2022): AASLE Meeting, Urban Economics Association North America Meeting"Supply Chain Networks and the Macroeconomic Expectations of Firms", with Ina Hajdini, Saten Kumar, Samreen Malik and Mathieu Pedemonte
"Fiscal Multipliers in Integrated Local Labor Markets"
Presentations: UEA, Aarhus U, DEGIT, NBER Summer Institute ITM, Northwestern UThe size of the aggregate fiscal multiplier depends on the geographic distribution of the fiscal stimulus. In a spatially rich framework, I structurally estimate how this heterogeneity varies with interstate trade exposure. My results characterize a geography-dependent fiscal multiplier: greater increases in national GDP are predicted when the stimulus in concentrated in states that operate trade deficits with other states.