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 LSDV, and corrected LSDV 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.
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