Heterogeneity in residential electricity consumption: A quantile regression approach

Manuel Frondel, Stephan Sommer and Colin Vance

No 722, Ruhr Economic Papers from RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen

Abstract: Drawing on the most recent wave of the German Residential Energy Survey (GRECS), this paper estimates the contribution of individual appliances to household electricity consumption. Moving beyond the standard focus of estimating mean effects, we combine the conditional demand approach with quantile regression methods to capture the heterogeneity in the contribution of each appliance to the distribution of household electricity consumption. While reflecting correlations, rather than causal relationships, our results indicate substantial differences in the end-use shares across households originating from the opposite tails of the electricity consumption distribution, highlighting the added value of applying quantile regression methods in estimating consumption rates of electric appliances.

Keywords: Electricity consumption; conditional demand approach; quantile regression methods (search for similar items in EconPapers)
JEL-codes: D12 Q41 (search for similar items in EconPapers)
Date: 2017
New Economics Papers: this item is included in nep-ene, nep-eur and nep-reg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:zbw:rwirep:722

DOI: 10.4419/86788842

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