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The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector

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Author Info

  • Michael Parti
  • Cynthia Parti

Abstract

This study presents a set of twelve monthly cross section regression analyses of the household demand for electricity. The methodology to be used is based upon a conditional demand framework which can be used to disaggregate the total household demand for electricity into the component demand functions for electricity through the media of particular appliances, even though no direct observations on specific appliance energy usage exist. The latter demand functions are used to estimate the monthly and annual average energy use for these appliances as well as the corresponding price and income elasticities.

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Bibliographic Info

Article provided by The RAND Corporation in its journal Bell Journal of Economics.

Volume (Year): 11 (1980)
Issue (Month): 1 (Spring)
Pages: 309-321

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Handle: RePEc:rje:bellje:v:11:y:1980:i:spring:p:309-321

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Cited by:
  1. Claudio A Agostini & Cecilia Plottier & Eduardo Saavedra, 2011. "La Demanda Residencial por Energía Eléctrica en Chile," Working Papers wp_013, Adolfo Ibáñez University, School of Government.
  2. Enrica De Cian & Elisa Lanzi & Roberto Roson, 2013. "Seasonal temperature variations and energy demand," Climatic Change, Springer, vol. 116(3), pages 805-825, February.
  3. Rijo M John, 2006. "Crowding-out Effect of Tobacco Expenditure And Its Implications on Intra-Household Resource Allocation," Microeconomics Working Papers 22396, East Asian Bureau of Economic Research.
  4. Paulo Bastos & Lucio Castro & Julian Cristia & Carlos Scartascini, 2011. "Does Energy Consumption Respond to Price Shocks? Evidence from a Regression-Discontinuity Design," Research Department Publications 4702, Inter-American Development Bank, Research Department.
  5. Carter, Adrian & Craigwell, Roland & Moore, Winston, 2011. "Price Reform and Household Demand for Electricity," MPRA Paper 40934, University Library of Munich, Germany.
  6. Claudio A Agostini & Eduardo Saavedra, 2014. "Elasticities of Residential Electricity Demand in Chile," Working Papers wp_034, Adolfo Ibáñez University, School of Government.
  7. Zhao, Hai-xiang & Magoulès, Frédéric, 2012. "A review on the prediction of building energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3586-3592.
  8. Brencic, Vera & Young, Denise, 2009. "Time-saving innovations, time allocation, and energy use: Evidence from Canadian households," Ecological Economics, Elsevier, vol. 68(11), pages 2859-2867, September.
  9. Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
  10. Bartels, Robert & Fiebig, Denzil G., 1995. "Optimal design in end-use metering experiments," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 305-309.
  11. Claudio Agostini & M. Cecilia Plottier & Eduardo Saavedra, 2012. "Residential Demand for Electric Energy in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(3), pages 64-83, December.
  12. Dongjun Suh & Seongju Chang, 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea," Energies, MDPI, Open Access Journal, vol. 5(11), pages 4497-4516, November.
  13. Sudarshan, Anant, 2013. "Deconstructing the Rosenfeld curve: Making sense of California's low electricity intensity," Energy Economics, Elsevier, vol. 39(C), pages 197-207.

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