IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0192.html
   My bibliography  Save this article

Econometric Modeling and Analysis of Residential Water Demand Based on Unbalanced Panel Data

Author

Listed:
  • Carlevaro, Fabrizio

    (Geneva University)

  • Schlesser, C.

    (Geneva University)

  • Binet , M. E.

    (Geneva University)

  • Paul, M.

    (Geneva University)

Abstract

This paper develops an econometric methodology devised to analyze a sample of time unbalanced panel data on residential water consumption in the French island La Reunion with the purpose to bring out the main determinants of household water consumption and estimate the importance of water consumption by uses. For this purpose, we specify a daily panel econometric model and derive, by performing a time aggregation, a general linear regression model accounting for water consumption data recorded on periods of any calendar date and time length. To estimate efficiently the parameters of this model we develop a feasible two step generalized least square method. Using the principle of best linear unbiased prediction, we finally develop an approach allowing to consistently break down the volume of water consumption recorded on household water bills by uses, namely by enforcing this estimated decomposition to add up to the observed total. The application of this methodology to a sample of 437 unbalanced panel observations shows the scope of this approach for the empirical analysis of actual data.

Suggested Citation

  • Carlevaro, Fabrizio & Schlesser, C. & Binet , M. E. & Paul, M., 2007. "Econometric Modeling and Analysis of Residential Water Demand Based on Unbalanced Panel Data," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 81-102.
    • Handle: RePEc:ris:apltrx:0192
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2007_4_81-102.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. W. Michael Hanemann, 1989. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Response Data: Reply," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 1057-1061.
    2. Joseph Cooper & John Loomis, 1992. "Sensitivity of Willingness-to-Pay Estimates to Bid Design in Dichotomous Choice Contingent Valuation Models," Land Economics, University of Wisconsin Press, vol. 68(2), pages 211-224.
    3. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    4. Robert Gillingham, 1975. "Place to Place Rent Comparisons," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 1, pages 153-178, National Bureau of Economic Research, Inc.
    5. Halvorsen, Robert & Pollakowski, Henry O., 1981. "Choice of functional form for hedonic price equations," Journal of Urban Economics, Elsevier, vol. 10(1), pages 37-49, July.
    6. Diewert, W E, 1974. "Functional Forms for Revenue and Factor Requirements Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 119-130, February.
    7. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    8. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    9. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    10. Brown, James N & Rosen, Harvey S, 1982. "On the Estimation of Structural Hedonic Price Models," Econometrica, Econometric Society, vol. 50(3), pages 765-768, May.
    11. Daniel McFadden, 1994. "Contingent Valuation and Social Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 689-708.
    12. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    13. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    14. Kanninen Barbara J., 1995. "Bias in Discrete Response Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(1), pages 114-125, January.
    15. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    16. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Diewert, W E, 1971. "An Application of the Shephard Duality Theorem: A Generalized Leontief Production Function," Journal of Political Economy, University of Chicago Press, vol. 79(3), pages 481-507, May-June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marie-Estelle Binet & Fabrizio Carlevaro & Michel Paul, 2012. "Estimation of Residential Water Demand with Imprecise Price Perception," Economics Working Paper Archive (University of Rennes & University of Caen) 201233, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    2. Marie-Estelle Binet & Fabrizio Carlevaro & Michel Paul, 2014. "Estimation of Residential Water Demand with Imperfect Price Perception," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 561-581, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Hermann Donfouet & P. Jeanty & P.-A. Mahieu, 2014. "Dealing with internal inconsistency in double-bounded dichotomous choice: an application to community-based health insurance," Empirical Economics, Springer, vol. 46(1), pages 317-328, February.
    3. Ju-Chin Huang & V. Kerry Smith, 1998. "Monte Carlo Benchmarks for Discrete Response Valuation Methods," Land Economics, University of Wisconsin Press, vol. 74(2), pages 186-202.
    4. Henrik Andersson & James Hammitt & Gunnar Lindberg & Kristian Sundström, 2013. "Willingness to Pay and Sensitivity to Time Framing: A Theoretical Analysis and an Application on Car Safety," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 56(3), pages 437-456, November.
    5. Ndebele, Tom & Forgie, Vicky, 2017. "Estimating the economic benefits of a wetland restoration programme in New Zealand: A contingent valuation approach," Economic Analysis and Policy, Elsevier, vol. 55(C), pages 75-89.
    6. W. George Hutchinson & Riccardo Scarpa & Susan M. Chilton & T. McCallion, 2001. "Parametric and Non‐Parametric Estimates of Willingness to Pay for Forest Recreation in Northern Ireland: A Discrete Choice Contingent Valuation Study with Follow‐Ups," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 104-122, January.
    7. Brugnaro, Caetano, 2010. "Valuing Riparian Forests Restoration: a CVM Application in Corumbatai River Basin," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 48(3), pages 1-14.
    8. Kerr, Geoffrey N., 2000. "Dichotomous choice contingent valuation probability distributions," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(2), pages 1-20.
    9. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    10. Richard Bennett & Douglas Larson, 1996. "Contingent Valuation Of The Perceived Benefits Of Farm Animal Welfare Legislation: An Exploratory Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 224-235, January.
    11. Thurow, Amy P. & Conner, J. Richard & Thurow, Thomas L. & Garriga, Matthew D., 2001. "A preliminary analysis of Texas ranchers' willingness to participate in a brush control cost-sharing program to improve off-site water yields," Ecological Economics, Elsevier, vol. 37(1), pages 139-152, April.
    12. Bateman, Ian J. & Langford, Ian H. & Jones, Andrew P. & Kerr, Geoffrey N., 2001. "Bound and path effects in double and triple bounded dichotomous choice contingent valuation," Resource and Energy Economics, Elsevier, vol. 23(3), pages 191-213, July.
    13. Scarpa, Riccardo & Chilton, Susan M. & Hutchinson, W. George & Buongiorno, Joseph, 2000. "Valuing the recreational benefits from the creation of nature reserves in Irish forests," Ecological Economics, Elsevier, vol. 33(2), pages 237-250, May.
    14. Huh, Sung-Yoon & Lee, Jongsu & Shin, Jungwoo, 2015. "The economic value of South Korea׳s renewable energy policies (RPS, RFS, and RHO): A contingent valuation study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 64-72.
    15. Swallow, Stephen K. & Opaluch, James J. & Weaver, Thomas F., 2001. "Strength-of-Preference Indicators and an Ordered-Response Model for Ordinarily Dichotomous, Discrete Choice Data," Journal of Environmental Economics and Management, Elsevier, vol. 41(1), pages 70-93, January.
    16. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
    17. Talwar, Shagorika, 1995. "An evaluation of statistical efficiency and bias trade-off involved with the use of follow-up questioning in the contingent valuation of environmental amenities," ISU General Staff Papers 1995010108000018160, Iowa State University, Department of Economics.
    18. Ryan, Mandy & Scott, David A. & Donaldson, Cam, 2004. "Valuing health care using willingness to pay: a comparison of the payment card and dichotomous choice methods," Journal of Health Economics, Elsevier, vol. 23(2), pages 237-258, March.
    19. Robert J. Johnston & Kevin J. Boyle & Wiktor (Vic) Adamowicz & Jeff Bennett & Roy Brouwer & Trudy Ann Cameron & W. Michael Hanemann & Nick Hanley & Mandy Ryan & Riccardo Scarpa & Roger Tourangeau & Ch, 2017. "Contemporary Guidance for Stated Preference Studies," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(2), pages 319-405.
    20. Aravena, Claudia & Hutchinson, W. George & Longo, Alberto, 2012. "Environmental pricing of externalities from different sources of electricity generation in Chile," Energy Economics, Elsevier, vol. 34(4), pages 1214-1225.

    More about this item

    Keywords

    econometric modeling; water consumption; panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • L95 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Gas Utilities; Pipelines; Water Utilities
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ris:apltrx:0192. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.