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US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach

Author

Listed:
  • Massimo Filippini

    () (Centre for Energy Policy and Economics (cepe), ETH Zurich and Department of Economics, University of Lugano)

  • Lester C Hunt

    () (Surrey Energy Economics Centre (SEEC), Department of Economics, University of Surrey)

Abstract

This paper estimates a US ‘frontier’ residential aggregate energy demand function using panel data for 48 ‘states’ over the period 1995 to 2006 using stochastic frontier analysis (SFA). Utilizing an econometric energy demand model, the (in) efficiency of each state is modelled and it is argued that this represents a measure of the inefficient use of residential energy in each state (i.e. ‘waste energy’). This underlying efficiency for the US is therefore observed for each state as well as the relative efficiency across the states. Moreover, the analysis suggests that energy intensity is not necessarily a good indicator of energy efficiency, whereas by controlling for a range of economic and other factors, the measure of energy efficiency obtained via this approach is. This is a novel approach to model residential energy demand and efficiency and it is arguably particularly relevant given current US energy policy discussions related to energy efficiency.

Suggested Citation

  • Massimo Filippini & Lester C Hunt, 2010. "US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 130, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
  • Handle: RePEc:sur:seedps:130
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    File URL: http://www.seec.surrey.ac.uk/Research/SEEDS/SEEDS130.pdf
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Energy demand; US residential energy demand; efficiency and frontier analysis; state energy efficiency.;

    JEL classification:

    • D - Microeconomics
    • D2 - Microeconomics - - Production and Organizations
    • Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

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