In this paper, we develop a methodology for estimating marginal emissions of electricity demand that vary by location and time of day across the United States. The approach takes account of the generation mix within interconnected electricity markets and shifting load profiles throughout the...

We provide the first at-scale estimate of electric vehicle (EV) home charging. Previous estimates are either based on surveys that reach conflicting conclusions, or are extrapolated from a small, unrepresentative sample of households with dedicated EV meters. We combine billions of hourly...

We consider large, permanent shocks to individual occupations whose arrival date is uncertain. We are motivated by the advent of self-driving trucks, which will dramatically reduce demand for truck drivers. Using a bare-bones overlapping generations model, we examine an occupation facing...

Charging infrastructure is critical to electric vehicle (EV) adoption, but for chargers to be most useful, EV drivers need to know in real time where they are and whether they are working and available. We investigate the availability of real-time data from DC fast chargers on six major US...

Electric vehicle (EV) battery costs have declined by more than 90% over the past decade. This study investigates the role of learning-by-doing (LBD) in driving this reduction and its interaction with two major government policies - consumer EV subsidies and local content requirements. Leveraging...

This paper examines the impact of industrial policies (IPs) on innovation in the global automobile industry. We compile the first comprehensive dataset linking global IPs with patent data related to the auto industry from 2008 to 2023. We document a major shift in policy focus: by 2022, nearly...

Little is known about demand for EVs in the mass market. In this paper, we exploit a natural experiment that provides variation in large EV subsidies targeted at low- and middle-income households in California. Using transaction-level data, we estimate two important policy parameters using...

We use a field experiment to measure the effectiveness of financial incentives and moral suasion "nudges" to shift the timing of electric vehicle (EV) charging. We find EV owners respond strongly to financial incentives, while nudges have no statistically discernible effect. When financial...

Electric vehicles offer the promise of reduced environmental externalities relative to their gasoline counterparts. We combine a theoretical discrete-choice model of new vehicle purchases, an econometric analysis of the marginal emissions from electricity, and the AP2 air pollution model to...

In the absence of a national carbon tax, household driving and electricity consumption impose social costs. Suburbanites drive more and consume more electricity than center city residents. If more suburbanites purchase electric vehicles (EV) and install solar panels, then their greenhouse gas...