US residential energy demand and energy efficiency: A stochastic demand frontier approach
Massimo Filippini () and
Lester Hunt ()
Energy Economics, 2012, vol. 34, issue 5, 1484-1491
This paper estimates a US frontier residential aggregate energy demand function using panel data for 48 ‘states’ over the period 1995 to 2007 using stochastic frontier analysis (SFA). Utilizing an econometric energy demand model, the (in)efficiency of each state is modeled 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.
Keywords: US residential energy demand; Efficiency and frontier analysis; State energy efficiency (search for similar items in EconPapers)
JEL-codes: D2 Q4 (search for similar items in EconPapers)
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Working Paper: US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach (2012)
Working Paper: US Residential Energy Demand and Energy Efficiency: A Stochastic Demand Frontier Approach (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:34:y:2012:i:5:p:1484-1491
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