with Dusan Paredes, Mark Skidmore, Scott Loveridge
As wildfire becomes increasingly frequent and intense due to multiple factors such as a changing climate and the accumulation of dry vegetation, understanding their economic effects on critical commodities is essential to evaluate their economic consequences beyond immediate property damage. This study assesses the short-term impact of the 2024 Park Fire on local retail gasoline prices in Northern California, using high-frequency station-level data. A generalized difference-in-differences approach and event study reveal that stations within 20 miles of the wildfire experienced a roughly 9-cent-per-gallon price drop compared to more distant controls—an outcome contrasting with the price spikes typically observed after hurricanes and floods. This study contributes to the literature by demonstrating how natural disasters, particularly wildfires, can influence fuel markets in unexpected ways, highlighting the importance of monitoring post-disaster price changes.
Dusan Paredes, Ye-Rim Lee, Mark Skidmore, Scott Loveridge
Despite the integration of national oil markets, gasoline prices in the United States display marked spatial variation. Using weekly data from over 89,000 stations between 2022 and 2023, this paper applies a multilevel framework to decompose rural–urban price disparities across stations, counties, and states. Nearly 70 percent of total price variation is explained by geography, with state-level factors alone accounting for more than half. Contrary to the idea of a universal rural premium, the national rural–urban gap is close to zero once spatial scale is properly modeled. However, results reveal strong heterogeneity across states: in 17 states urban stations charge more, while in 32 states rural stations pay higher prices. These findings highlight the importance of accounting for geographic scale and institutional boundaries when evaluating the welfare implications of energy prices.
with Lenin H. Balza, Jose Belmar
The study explores how hydrological drought reshapes electricity generation in Latin America. Using a harmonized plant-level panel for Chile, Brazil, Colombia, Peru, and Ecuador from 2000 to 2024, I link monthly power output to HydroBASINS watershed data and high-resolution runoff anomalies. Droughts are defined as basin-level 12-month cumulative runoff falling one standard deviation below the historical mean. Two-way fixed-effects regressions indicate that hydropower generation declines by 20–25 percent during drought months in Chile and Brazil, while effects in Colombia, Peru, and Ecuador are smaller and statistically insignificant. These findings provide cross-country evidence on drought sensitivity and highlight implications for energy security, substitution patterns, and decarbonization strategies in hydro-dependent systems.
This study investigates how hurricanes disrupt retail gasoline prices across the United States and how infrastructure and policy shape recovery. Using daily station- and county-level price data linked with NOAA hurricane tracks and energy supply networks, we analyze the impacts of major 2024 hurricanes. A stacked event-study framework measures temporal and spatial price responses, while a spatial econometric model captures spillovers through interconnected markets. We further examine how state emergency responses—such as fuel waivers, toll suspensions, and trucking exemptions—affect price stabilization and market recovery. The results shed light on how supply-chain structure and state-level policy actions influence the resilience of U.S. fuel markets to extreme weather events.
with Mark Skidmore, Scott Loveridge, Dusan Paredes
This paper analyzes determinants of inflation perceptions among 1,000 Michigan residents surveyed in 2024, in the run-up to the U.S. presidential election. Ordered logistic regressions show that political leaning is the strongest predictor: Republicans and Independents perceive significantly higher inflation than Democrats, and Trump supporters and Biden administration disapprovers report sharply higher inflation than Harris supporters or those with positive approval. Gender differences are also robust, with women more likely than men to report higher inflation across all domains. By contrast, age, income, education, and rural–urban location have weaker or inconsistent effects, while home ownership consistently dampens perceptions of inflation, particularly in housing and gasoline. These findings highlight that perceptions of inflation are politicized and gendered, reflecting partisan and leadership evaluations more than local economic fundamentals.
Michiganders' Inflation Perception for the Last 5 Years (2019-2024)