Short and long-run time-of-use price elasticities in Swiss residential electricity demand


METADATA ONLY
Loading...

Author / Producer

Date

2010-07

Publication Type

Working Paper

ETH Bibliography

yes

Citations

Altmetric
METADATA ONLY

Data

Rights / License

Abstract

This paper presents an empirical analysis on the residential demand for electricity by time-of-day. This analysis has been performed using aggregate data at the city level for 22 Swiss cities for the period 2000 to 2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using a static and a dynamic partial adjustment approach. These demand functions were estimated using several econometric approaches for panel data, for example LSDV, RE for static models and corrected LSDV, and GMM estimators for dynamic models. The attempt of this empirical analysis has been to highlight some of the characteristics of the Swiss residential electricity demand. The estimated short-run own price elasticities are lower than 1, whereas in the long-run these values, as expected, are higher than 1. The estimated short run as well as long run cross-price elasticities are positive. This result shows that peak and off-peak electricity are substitutes. In this context, time differentiated prices should provide an economic incentive to customers so that they can modify consumption patterns by reducing peak demand and shifting electricity consumption from peak to off-peak periods.

Permanent link

Publication status

published

External links

Editor

Book title

Volume

76

Pages / Article No.

Publisher

ETH Zurich, Centre for Energy Policy and Economics

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Residential electricity demand by time-of-use; Time-of-use rates; Panel data; Partial adjustment model

Organisational unit

03539 - Filippini, Massimo / Filippini, Massimo check_circle

Notes

Funding

Related publications and datasets

Is previous version of: