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Exact welfare measurement for double-log demand with partial adjustment

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  • C. Woo
  • J. Zarnikau
  • E. Kollman

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  • C. Woo & J. Zarnikau & E. Kollman, 2012. "Exact welfare measurement for double-log demand with partial adjustment," Empirical Economics, Springer, vol. 42(1), pages 171-180, February.
    • Handle: RePEc:spr:empeco:v:42:y:2012:i:1:p:171-180
    DOI: 10.1007/s00181-010-0416-1
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    Cited by:

    1. Li, Raymond & Woo, Chi-Keung & Cox, Kevin, 2021. "How price-responsive is residential retail electricity demand in the US?," Energy, Elsevier, vol. 232(C).
    2. 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.
    3. Woo, C.K. & Shiu, A. & Liu, Y. & Luo, X. & Zarnikau, J., 2018. "Consumption effects of an electricity decarbonization policy: Hong Kong," Energy, Elsevier, vol. 144(C), pages 887-902.
    4. Woo, Chi-Keung & Wong, Wing-Keung & Horowitz, Ira & Chan, Hing-Lin, 2012. "Managing a scarce resource in a growing Asian economy: Water usage in Hong Kong," Journal of Asian Economics, Elsevier, vol. 23(4), pages 374-382.

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    More about this item

    Keywords

    Double-log demand; Welfare measures; Consumer surplus; Compensating variation; D60; Q48; C53; C22;
    All these keywords.

    JEL classification:

    • D60 - Microeconomics - - Welfare Economics - - - General
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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