We propose a novel spatial panel quantile regression method to investigate the impact of crude oil and carbon prices and neighboring fuel prices on regional retail fuel prices in the EU markets. This approach captures the changing price shock propagation and cross-market dependency of retail...

We explore whether non-competitive pricing prevails in Germany’s retail gasoline market by examining the influence of the crude oil price on the retail gasoline price, focusing specifically on how this influence varies according to the brand and to the degree of competition in the vicinity of...

We premise and model the dynamic interdependence between energy and carbon prices in Phase III of the European Union Emission Trading Scheme (EU ETS) in a heterogeneous impulse-response setting. Our research framework is based on the proposition that energy prices (e.g., oil, natural gas, and...

An interaction in a fixed effects (FE) regression is usually specified by demeaning the product term. However, this strategy does not yield a genuine within estimator. Instead, an estimator is produced that reflects unit-level differences of interacted variables whose moderators vary within...

Recently, there has been a growing interest in developing econometric tools to conduct counterfactual analysis with aggregate data when a "treated" unit suffers an intervention, such as a policy change, and there is no obvious control group. Usually, the proposed methods are based on the...

Recent studies have used a distributional analysis of welfare reform experiments suggesting that some individuals reduce hours in order to opt into welfare, an example of behavioral-induced participation. Using data on Connecticut's Jobs First experiment, we find no evidence of...

In a 'smart' electricity distribution network, flexible distribution resources (FDRs) can be coordinated to improve efficiency. But coordination enables whoever controls such resources to exercise market power. The paper establishes the following efficiency rankings of market structures:...

This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelihood using an asymmetric Laplace (AL) error distribution and combine it with suitable prior distributions to obtain...