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Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities
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- Li, Raymond & Woo, Chi-Keung & Cox, Kevin, 2021. "How price-responsive is residential retail electricity demand in the US?," Energy, Elsevier, vol. 232(C).
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"Optimal policies to promote efficient distributed generation of electricity,"
Journal of Regulatory Economics, Springer, vol. 52(2), pages 159-188, October.
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"A new look at residential electricity demand using household expenditure data,"
International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
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- Harrison Fell & Shanjun Li & Anthony Paul, 2012. "A New Look at Residential Electricity Demand Using Household Expenditure Data," Working Papers 2012-04, Colorado School of Mines, Division of Economics and Business.
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"Environmental policy and the energy efficiency of vertically differentiated consumer products,"
Energy Economics, Elsevier, vol. 36(C), pages 444-453.
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"On the role of maximum demand charges in the presence of distributed generation resources,"
Energy Economics, Elsevier, vol. 69(C), pages 237-249.
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"Verifiable and non-verifiable anonymous mechanisms for regulating a polluting monopolist,"
Journal of Environmental Economics and Management, Elsevier, vol. 64(3), pages 410-426.
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- Woo, C.K. & Liu, Y. & Zarnikau, J. & Shiu, A. & Luo, X. & Kahrl, F., 2018. "Price elasticities of retail energy demands in the United States: New evidence from a panel of monthly data for 2001–2016," Applied Energy, Elsevier, vol. 222(C), pages 460-474.
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"Lin, B., Jiang, Z, 2012. Designation and influence of household increasing block electricity tariffs in China. Energy Policy 42, pp. 164-173: How biased is the measurement of household's loss?,"
SciencePo Working papers Main
hal-02314758, HAL.
- Evens Salies, 2012. "Lin, B., Jiang, Z, 2012. Designation and influence of household increasing block electricity tariffs in China. Energy Policy 42, pp. 164-173: How biased is the measurement of household's loss?," Post-Print hal-02314758, HAL.
- Salies, Evens, 2012. "Lin, B., Jiang, Z, 2012. Designation and influence of household increasing block electricity tariffs in China. Energy Policy 42, pp. 164–173: How biased is the measurement of household’s loss?," MPRA Paper 46811, University Library of Munich, Germany.
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"Why does real-time information reduce energy consumption?,"
Energy Economics, Elsevier, vol. 54(C), pages 173-181.
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Policy Papers
2018.05, FAERE - French Association of Environmental and Resource Economists.
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Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
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Economics Letters, Elsevier, vol. 99(3), pages 490-493, June.
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"Switching on Electricity Demand Response: Evidence for German Households,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
- Frondel, Manuel & Kussel, Gerhard, 2018. "Switching on electricity demand response: Evidence for German households," Ruhr Economic Papers 763, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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"Grandfathering and Greenhouse: The Role of Compensation and Adjustment Assistance in the Introduction of a Carbon Emissions Trading Scheme for Australia,"
Economic Papers, The Economic Society of Australia, vol. 28(2), pages 82-92, June.
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Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 18(4), pages 348-367, November.
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