Published September 2021 | Version v1
Journal article

Estimating income and price elasticities of residential electricity demand with Autometrics

  • 1. Centre for Econometric Analysis, Bayes Business School (formerly Cass), London (United Kingdom)

Description

Highlights: • Income and price elasticities of electricity demand are estimated via Autometrics. • Cointegration is found between residential electricity demand and its determinants. • For all countries electricity is a normal good and demand is price inelastic. • Policies that only increase price are likely to have limited impact on consumption. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eneco.2021.105411

Additional details

Identifiers

DOI
10.1016/j.eneco.2021.105411;
PII
S0140988321003078;

Publishing Information

Journal Title
Energy Economics
Journal Volume
101
Journal Page Range
vp.
ISSN
0140-9883
CODEN
EECODR

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53108150
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; COMPUTERIZED SIMULATION; ECONOMETRICS; ELASTICITY; ELECTRICITY; ENERGY POLICY; ERRORS; INCOME; PRICES; SPECIFICATIONS
Descriptors DEC
ECONOMICS; GOVERNMENT POLICIES; MATHEMATICAL LOGIC; MECHANICAL PROPERTIES; SIMULATION

Optional Information

Copyright
Copyright (c) 2021 Published by Elsevier B.V. All rights reserved.