To provide the basis for evaluating the effectiveness of price policies, this paper contributes to the literature by estimating the heterogeneity in the response of residential electricity demand to price increases across household types. Drawing on household panel data from the German...

This paper provides an example of several modeling and econometric advances used in the panel estimation of energy demand elasticities. The paper models the demand of total, industrial, and transport energy consumption and residential and commercial electricity consumption by analyzing US...

The sharp increase in energy prices and growing concern on environmental issues, among other things, are behind the renewed interest in energy demand estimation. However, there is sparce academic literature that takes the real situation of energy suppliers into account: high quality but...

This paper disaggregates energy consumption and GDP data according to end-use to analyze a broad number of developed and developing countries grouped in panels by similar characteristics. Panel long-run causality is assessed with a relatively under-utilized approach recommend by Canning and...

This paper employs quantile panel regression to the study of fuel price elasticities. Contrasting with standard panel approaches, this method reveals the impact of explanatory variables across all points in the conditional distribution of the response variable while controlling for unobserved...

A dynamic random variables model correcting for heteroskedastic and correlated error terms over time and space and dynamic demand and using panel county data offers consistent and efficient elasticity estimates of residential electricity and natural gas demands. The model developed by Swamy...

Estimating the relationship between economic development and energy demand and determining whether that relationship changes as levels of development change have been popular questions in energy economics. The current paper contributes to the literature by assembling a wide panel dataset of...

By employing dynamic panel models we estimate the price and output elasticities of aggregate industrial electricity demand for OECD and non-OECD countries. The unbalanced data span 1978-2016 and include 35 OECD/hi-income countries and 30 non-OECD/middle-income countries, and our dynamic panel...

This paper disaggregates energy consumption and GDP data according to end-use to analyze a broad number of developed and developing countries grouped in panels by similar characteristics. Panel long-run causality is assessed with a relatively under-utilized approach recommend by Canning and...

This paper estimates price and GDP/income elasticities of several energy goods in OECD countries over 1978 to 1999 by applying the one-step GMM estimation method suggested by Arellano and Bond (1991) to a panel data set. The energy demand is specified by a simple partial adjustment model. We...