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Estimating income and price elasticities of residential electricity demand with Autometrics

Pellini, E. ORCID: 0000-0001-9402-3526 (2021). Estimating income and price elasticities of residential electricity demand with Autometrics. Energy Economics, 101, 105411. doi: 10.1016/j.eneco.2021.105411


This paper estimates the income and price elasticities of the residential electricity demand for twelve major European countries using annual time series from 1975 to 2018. In the modelling exercise we adopt a novel econometric approach that features automatic model selection, saturation methods for detecting outliers and structural breaks, and the automatic model selection algorithm Autometrics. The selected specification for each country is an error correction model, from which it emerges a cointegrating relationship between electricity consumption, income, electricity price and climate variables, once that outliers and breaks are accounted for. The empirical results show that the estimated long-run income elasticities are less than one for all countries, and that the long-run price elasticities are in all cases less than one in absolute value. These results suggest that for European countries electricity is a normal good and that demand is price inelastic.

Publication Type: Article
Additional Information: Crown Copyright © 2021 Published by Elsevier B.V. All rights reserved.
Publisher Keywords: Electricity demand modelling, Income and price elasticities, Automatic model selection, Saturation methods, Autometrics
Departments: Bayes Business School > Management
Date available in CRO: 29 Oct 2021 13:02
Date deposited: 29 October 2021
Date of acceptance: 21 June 2021
Date of first online publication: 26 June 2021
[img] Text - Accepted Version
This document is not freely accessible until 26 December 2021 due to copyright restrictions.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

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