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An Estimation of Residential Water Demand Using Co-integration and Error Correction Techniques

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  • Roberto Martinez Espineira

    (St. Francis Xavier University)

Abstract

The purpose of this paper is to measure the short- and long-run effect ofthe price of water on residential water use. Unit root tests reveal that water use series and series of other variables affecting use are non-stationary. However, a long-run co-integrating relationship is found in the demand model, which makes possible to obtain a partial correction term and to estimate an error correction model. The empirical application uses monthly time-series observations from Seville (Spain). The price-elasticity of demand is estimated as around -0.1 in the short run and -0.5 in the long run. These results are robust to the use of different specifications.

Suggested Citation

  • Roberto Martinez Espineira, 2004. "An Estimation of Residential Water Demand Using Co-integration and Error Correction Techniques," Others 0410002, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpot:0410002
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    References listed on IDEAS

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    Cited by:

    1. Buck, Steven & Nemati, Mehdi & Sunding, David, 2016. "The Welfare Consequences of the 2015 California Drought Mandate: Evidence from New Results on Monthly Water Demand," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236049, Agricultural and Applied Economics Association.
    2. Marie-Estelle Binet & Younes Ben Zaïd, 2011. "A Seasonal Integration and Cointegration Analysis of Residential Water Demand in Tunisia," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201122, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    3. Ben Zaied Younes, 2013. "A long-run analysis of residential water consumption," Economics Bulletin, AccessEcon, vol. 33(1), pages 536-544.

    More about this item

    Keywords

    seasonal unit roots; residential water demand; price elasticity; time-series; co-integration; Error Correction Model.;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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