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

By Massimo Filippini. 2012

309 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/a571babed0815cd7672ac3e0b052ff6fbb154e60

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In Economics and Econometrics

1. Peng Zhou
2. Dequn Zhou
3. Hui Wang
4. Massimo Filippini
5. J. Zorić
6. L. Hunt
7. Manuel Llorca
8. Luis Orea

In Environmental Engineering

1. Dequn Zhou
2. Peng Zhou
3. Massimo Filippini
4. Hui Wang
5. L. Hunt
6. Manuel Llorca
7. Luis Orea
8. J. Zorić

Citations in the corpus

• Impact of energy policy instruments on the estimated level of underlying energy efficiency in the EU residential sector (2013, methodology): “According to Filippini and Hunt (2012) a possible explanation for these established differences may be found in the fact that different models capture the impact of technological innovation and behavioural change on the energy consumption in different ways, that is either through price effects,…”
• Do energy efficiency policies save energy? A new approach based on energy policy indicators (in the EU Member States) (2020, unknown): “…induced by policies as compared to other factors such as economic growth, structural changes, populations, production levels, energy prices, etc. Filippini and Hunt (2012) estimated the efficiency of US residential energy consumption by using an econometric energy demand model with a stochastic…”
• Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis (2013, methodology): “4 In addition toDEA, stochastic frontier analysis has also been employed tomeasure sectoral or economy-wide energy efficiency performance, e.g. Filippini and Hunt (2012), Zhou et al. (2012b) and Stern (2012).”
• Analysis of the EU Residential Energy Consumption: Trends and Determinants (2019, methodology): “Filippini and Hunt [23] estimated the efficiency of US residential energy consumption by using an econometric energy demand model, which includes, beside other determinants, the “underlining energy efficiency”.”
• A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand (2015, methodology): “That is, z is specified as: 0 ln ln lnPCI P it AHS ititY POP P AHS (10) If we impose that the rebound-effect function does not depend on any covariate, we obtain the standard energy demand frontier model estimated in Filippini and Hunt (2011, 2012).”