Measuring residential energy efficiency improvements with DEA
AbstractThis paper measures energy efficiency improvements of US single-family homes between 1997 and 2001 using a two-stage procedure. In the first stage, an indicator of energy efficiency is derived by means of Data Envelopment Analysis (DEA),and the analogy between theDEAestimator and traditional measures of energy efficiency is demonstrated. The second stage employs a bootstrapped truncated regression technique to decompose the variation in the obtained efficiency estimates into a climatic component and factors attributed to efficiency improvements. Results indicate a small but significant improvement of energy efficiency over the studied time interval, mainly accounted for by fuel oil and natural gas users.
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Bibliographic InfoArticle provided by Springer in its journal Journal of Productivity Analysis.
Volume (Year): 31 (2009)
Issue (Month): 2 (April)
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Web page: http://www.springerlink.com/link.asp?id=100296
Energy efficiency; Household production; Data envelopment analysis; Bootstrap; C14; C61; D13; Q4;
Other versions of this item:
- Peter Grösche, 2008. "Measuring Residential Energy Efficiency Improvements with DEA," Ruhr Economic Papers 0060, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D13 - Microeconomics - - Household Behavior - - - Household Production and Intrahouse Allocation
- Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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