In electricity markets, generators are rewarded both for providing energy and for enabling grid reliability. The two functions are compensated in separate markets: energy markets and ancillary services markets. We provide evidence of changes in the fuel mix in the energy market that is driven by...

Production inflexibility together with product price uncertainty creates price risk, which is a potentially important factor for firms' liquidity management. One industry for which price risk can be measured is the electricity producing industry. We use data on hourly electricity prices in 41...

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. The Smart Grid is a set of emerging technologies that, among other effects, will facilitate "real-time pricing" for electricity and increase price...

The marginal cost of electricity fluctuates hour-by-hour, yet retail customers typically face flat prices. Using data from all seven US wholesale markets and a new method to evaluate alternative rates set in advance that accounts for equilibrium price effects, we estimate efficiency gains from...

Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However,...

We propose methods for constructing regularized mixtures of density forecasts. We explore a variety of objectives and regularization penalties, and we use them in a substantive exploration of Eurozone inflation and real interest rate density forecasts. All individual inflation forecasters (even...

We present a general framework for Bayesian estimation and causality assessment in epidemiological models. The key to our approach is the use of sequential Monte Carlo methods to evaluate the likelihood of a generic epidemiological model. Once we have the likelihood, we specify priors and rely...

Future electricity systems with tight constraints on carbon emissions will rely much more on wind and solar generation, with zero marginal cost, than today. We use capacity expansion modelling of Texas in 2050 to illustrate wholesale price distributions in future energy-only, carbon-constrained...

Utility regulators frequently focus as much or more on the distributional impact of electric rate structures as on their efficiency. The goal of protecting low-income consumers has become more central with recent increases in wholesale power costs and anticipation of significant costs of...

One of the most critical concerns that customers have voiced in the debate over real-time retail electricity pricing is that they would be exposed to risk from fluctuations in their electricity cost. The concern seems to be that a customer could find itself consuming a large quantity of power on...