Using hourly offer curves from the Italian day-ahead market and the real-time re-dispatch market for the period January 1, 2017 to December 31, 2018, we show how thermal generation unit owners are able to profit from differences between a simplified day-ahead market design that ignores system...

Recent energy shortfalls in renewables-dominated electricity markets call for a mechanism to ensure demand is met under all system conditions. We demonstrate severe shortcomings of an increasingly popular mechanism--reliability options--caused by its interaction with fixed-price forward...

Currently, most U.S. electricity consumers pay a constant price per kWh consumed that accounts for most of their bill. Ongoing developments in the power system increase efficiency gains that can be made from exposing consumers to widely varying wholesale spot prices. Pure spot pricing is not...

Cryptomining, the clearing of cryptocurrency transactions, uses large quantities of electricity. We document that cryptominers' use of local electricity implies higher electricity prices for existing small businesses and households. Studying the electricity market in Upstate NY and using the...

In recent years the analysis of US climate policy on the electricity sector has predominantly deployed electricity planning or capacity expansion models that use deterministic or equilibrium optimization methods. While uncertainty in key input assumptions is considered, it is usually restricted...

Natural gas has replaced coal as the dominant fuel for U.S. electricity generation. However, U.S. states that regulate electric utilities have retired coal more slowly than others. We build a structural model of rate-of-return regulation during an energy transition where utilities face tradeoffs...

Two potentially asymmetric players compete for a prize of common value, which is initially unknown, by exerting efforts. A designer has two instruments for contest design. First, she decides whether and how to disclose an informative signal of the prize value to players. Second, she sets the...

We propose an equilibrium theory of data-driven antitrust oversight in which regulators launch investigations on the basis of suspicious bidding patterns and cartels can adapt to the statistical screens used by regulators. We emphasize the use of asymptotically safe tests, i.e. tests that are...