We study a difference-in-differences (DiD) framework where groups experience unequal treatment statuses in the pre-policy change period. This approach is commonly employed in empirical studies but it contradicts the canonical model's assumptions. We show that in such settings, the standard DiD...

We study two-way-fixed-effects regressions (TWFE) with several treatment variables. Under a parallel trends assumption, we show that the coefficient on each treatment identifies a weighted sum of that treatment's effect, with possibly negative weights, plus a weighted sum of the effects of the...

This survey discusses the recent causal panel data literature. This recent literature has focused on credibly estimating causal effects of binary interventions in settings with longitudinal data, with an emphasis on practical advice for empirical researchers. It pays particular attention to...

While carbon pricing, in general, and carbon taxes, in particular, are popular with economists, they are subject to considerable misunderstanding among policy makers and the public. In this paper I consider and refute five myths about carbon taxes: 1) that a carbon price will hurt economic...

Carbon intensity from fossil fuel use in the United States economy peaked in 1917. World War I ended, and the Spanish Flu pandemic broke out one year later in 1918. This paper contends that these events, coupled with associated turmoil in the domestic coal industry, were largely responsible for...

The COVID-19 pandemic as well as the Russian invasion of Ukraine have had profound effects on the global energy landscape, with some of the longer-lasting effects still unfolding. This paper discusses how these events have reshaped the supply side of the global oil market by focusing on...

This paper studies the macroeconomic effects of energy price shocks in energy-importing economies using a heterogeneous-agent New Keynesian model. When MPCs are realistically large and the elasticity of substitution between energy and domestic goods is realistically low, increases in energy...

We use restricted-access, geocoded data on the near-universe of workers in 23 U.S. states in order to quantify the impact of wind energy development on local earnings and employment, by race, ethnicity, sex, and educational attainment. We find the largest relative impacts for workers without a...

We provide a spatial theory of clean growth to assess the global impact of the rise of renewable energy. We model the details of the combined production and transmission network of electricity ("the grid") that determine the supply and losses of energy in space. The local rate of clean energy...

We evaluate distributional and efficiency consequences of the bulk power clean electricity tax credits authorized by the 2022 Inflation Reduction Act. To do so, we link detailed electricity capacity expansion, computable general equilibrium, data-rich microsimulation, and air pollution models to...