Artificial-intelligence-driven data centers are reversing two decades of flat U.S. electricity demand and have generated questions about how this growth will impact electricity prices. This paper quantifies this effect using an hourly, unit-level least-cost dispatch model covering wholesale electricity markets in the continental United States.

This paper proposes mean group and pooled estimators of impulse responses based on mixed-frequency auxiliary distributed lag (DL), autoregressive distributed lag (ARDL) or vector autoregressive distributed lag (VARDL) estimating equations.

This paper examines the underappreciated challenges that electric vehicle (EV) adoption poses for the distribution grid.

This paper shows that the same conditions that lead to pollution leakage enhance the efficacy of clean subsidies.

Pigouvian subsidies are efficient, but output subsidies with uncertain or limited durations are not Pigouvian. This paper shows that optimal “time-limited” policies must also subsidize investment to correct externalities generated after the output subsidy ends.

This paper estimates the effect of competition on incumbent firm pricing by using high frequency price data and the precise geographic location for all gas stations in California.