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Micro Econometric Modelling of Household Energy Use: Testing for Dependence between Demand for Electricity and Natural Gas

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  • Soren Leth-Petersen

Abstract

This paper contains a micro econometric analysis of household electricity and natural gas demand for a cross section of 2,885 Danish households observed in 1996. The sample includes fulltime employed couples in single-family houses. The specification of the model is guided by an explorative nonparametric data analysis. The analysis reveals, among other things, the fairly surprising result that demand for heating is unaffected by the number of children in the household. The dependence between demand for gas and demand for electricity is examined in the paper. This is done by testing for separability of demand for gas from demand for electricity, and vice versa. Separability of electricity (gas) from gas (electricity) is tested by estimating demand for electricity (gas) conditional on demand for gas (electricity). The model allows for endogeneity of the conditional variable. Building regulations and individual time variation, that is panel data, identify the test. The test indicates that demand for electricity is separable from demand for natural gas, and that demand for natural gas is separable from demand for electricity. The result of the test is evidence in favour of single equation modelling of household energy demand in this context.

Suggested Citation

  • Soren Leth-Petersen, 2002. "Micro Econometric Modelling of Household Energy Use: Testing for Dependence between Demand for Electricity and Natural Gas," The Energy Journal, , vol. 23(4), pages 57-84, October.
    • Handle: RePEc:sae:enejou:v:23:y:2002:i:4:p:57-84
    DOI: 10.5547/ISSN0195-6574-EJ-Vol23-No4-3
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    4. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    5. John Xu Zheng, 1996. "A consistent test of functional form via nonparametric estimation techniques," Journal of Econometrics, Elsevier, vol. 75(2), pages 263-289, December.
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