2016
DOI: 10.1061/(asce)wr.1943-5452.0000580
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Estimation of Residential Water Demand under Uniform Volumetric Water Pricing

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Cited by 25 publications
(14 citation statements)
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“…Several possibilities have been proposed by previous literature to solve this problem: (i) the introduction of instrumental variables in the OLS models in various stages (2SLS, 3SLS) [12,15,[32][33][34][35]; (ii) the application of maximum likelihood estimation methodologies [36][37][38][39]; and (iii) the use of OLS with Nordin's difference variable, which is sufficient to address this issue [40]. Nordin's difference variable is defined as the difference between the total bill and the cost if all units were charged at the marginal price, and it captures the impact of changes in intra-marginal prices on consumers' income.…”
Section: Methodsmentioning
confidence: 99%
“…Several possibilities have been proposed by previous literature to solve this problem: (i) the introduction of instrumental variables in the OLS models in various stages (2SLS, 3SLS) [12,15,[32][33][34][35]; (ii) the application of maximum likelihood estimation methodologies [36][37][38][39]; and (iii) the use of OLS with Nordin's difference variable, which is sufficient to address this issue [40]. Nordin's difference variable is defined as the difference between the total bill and the cost if all units were charged at the marginal price, and it captures the impact of changes in intra-marginal prices on consumers' income.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, SF and HM were developed considering consumption habits from different eras (Cortés 2008;Buchberger et al 2017). The daily cycle in water consumption has a close relationship with the weather factors that occur in a region (García et al 2004;Polebitski and Palmer 2010;Ghimire et al 2016), so the demand that can be generated at the domestic level, can vary between regions.…”
Section: Introductionmentioning
confidence: 99%
“…Second, in irrigation water consumption, the economic value of irrigation water was analyzed [6] and estimated using the residual imputation method in the Teesta River, Bangladesh [7], and Ohab-Yazdi and Ahmadi [8] used genetic-algorithm-based optimization model to evaluate the potential maximum net benefit of irrigation water. Third, in urban water consumption, Hester and Larson [9] used breakpoint and decomposition analyses to study changes in water use for three North Carolina cities between 1990 and 2014, and Ghimire et al [10] determined the price and income elasticity of household water demand under the unified water price.…”
Section: Introductionmentioning
confidence: 99%