This paper presents an analytical benchmark model for national intraday adjustment needs under consideration of fundamental drivers, market concentration and portfolio internal netting. The benchmark model is used to calculate the intraday market outcomes if (i) large and small players as well...

This paper presents a theoretical and empirical analysis of liquidity in the German intraday market for electricity. Two models that aim at explaining intraday liquidity are developed. The first model considers the fundamental merit-order and intraday adjustment needs as the drivers of liquidity...

The paper proposes and develops a smooth transition logit (STL) model that is designed to detect and model situations in which there is structural change in the behaviour underlying the latent index from which the binary dependent variable is constructed. The maximum likelihood estimators of the...

We propose a joint modeling of spot electricity prices, forwards prices and other derivative prices, using recent developments in discrete time asset pricing methods based on the notions of stochastic discount factor and of compound autoregressive (or affine) stochastic processes. We show that...

Imperfect information and inattention to energy costs are important potential justifications for energy efficiency standards and subsidies. We evaluate these policies in the lightbulb market using a theoretical model and two randomized experiments. We derive welfare effects as functions of...

This review paper provides an overview of the application of behavioral public economics to energy efficiency. I document policymakers' arguments for "paternalistic" energy efficiency policies, formalize with a simple model of misoptimizing consumers, review and critique empirical evidence, and...

A capacity mechanism next to the energy-only market provides necessary investment incentives that spot markets lack. The adequate capacity mix can only be achieved by accounting for the current transition phase to electricity generation with a growing share of renewables. We show that an...

Information programs that leverage peer comparisons are used to encourage pro-social behavior in many contexts. We document how imperfect information generates heterogenous responses to treatments involving personalized feedback and peer comparisons. In our field experiment in retail...

Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning...

We document three remarkable features of the Opower program, in which social comparison-based home energy reports are repeatedly mailed to more than six million households nationwide. First, initial reports cause high-frequency "action and backsliding," but these cycles attenuate over time....