Modelling and Forecasting Residential Electricity Consumption in the U.S. Mountain Region

Jason Jorgensen () and Fred Joutz

No 2012-003, Working Papers from The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting

Abstract: In this paper we present an analysis of the demand for residential electricity of the U.S. mountain region. The objective is to develop two simulations analyzing how changes in electricity prices and warmer weather affect electricity consumption and greenhouse gas emissions. Electricity demand is modeled as a function of the price of electricity, real personal income, number of households, weather as a function of heating and cooling days, and the price of natural gas. A general-to-specific approach is used to develop congruent models. We are able to estimate an equilibrium correction model capturing long run electricity demand and short run or seasonal responses. We find that in the long-run, income elasticity is positive and inelastic, own-price elasticity is negative and inelastic, and cross-price elasticity is positive and inelastic. In the short-run, all price and income elasticities are perfectly inelastic and the only effects on demand for electricity are weather variables.

Keywords: Time series; Econometric models; Residential electricity demand; Error correction Models; Autometrics (search for similar items in EconPapers)
JEL-codes: C3 C5 Q4 (search for similar items in EconPapers)
Pages: 42 pages
Date: 2012-01
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:gwc:wpaper:2012-003

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