Skip to main content

Advertisement

Log in

Long-run Study of Residential Water Consumption

  • Published:
Environmental and Resource Economics Aims and scope Submit manuscript

Abstract

The estimation of dynamic models and themeasure of long-run effects arerare in residential water demand studies. Weshow in this paper that a dynamicmodel of water consumption can be derived froma structural optimisation programsolved by local communities. Thisnonlinear model is estimated on asample of French municipalities and is foundasymptotically equivalent to a dynamic panel data model that is linear in theparameters. The latter includes anoriginal error-component structure that allowsfor a flexible heterogeneity pattern, including both the usual idiosyncraticeffect, and an additional individualeffect affected by a multiplicative time-varyingparameter. As usual GMM estimators for panel data are not consistent inthis case, we propose a new GMMprocedure that yields consistent and efficientestimates of short- and long-runprice elasticities (respectively −0.26 and−0.40).

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Agthe, D. and R. Billings (1980), ‘Dynamic Models of ResidentialWater Demand’ Water Resources Research 16(3), 476-480.

    Google Scholar 

  • Ahn, S. C. and P. Schmidt (1995), ‘Efficient Estimation of Models for Dynamic Panel Data’ Journal of Econometrics 68, 5-27.

    Article  Google Scholar 

  • Ahn, S. C. and P. Schmidt (1997), ‘Efficient Estimation of Dynamic Panel Data Models: Alternative Assumptions and Simplified Estimation’ Journal of Econometrics 76, 309-321.

    Article  Google Scholar 

  • Anderson, T. and C. Hsiao (1982), ‘Formulation and Estimation of Dynamic Models Using Panel Data’ Journal of Econometrics 18, 47-82.

    Article  Google Scholar 

  • Arellano, M. and S. Bond (1991), ‘Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations’ Review of Economic Studies 58, 277-297.

    Article  Google Scholar 

  • Arellano, M. and O. Bover (1995), ‘Another Look at the Instrumental Variable Estimation of Error-Components Models’ Journal of Econometrics 68, 29-51.

    Article  Google Scholar 

  • Baltagi, B. H. (1995), Econometric Analysis of Panel Data. John Wiley and Sons.

  • Blundell, R. and S. Bond (1998), ‘Initial Conditions and Moment Restrictions in Dynamic Panel Data Models’ Journal of Econometrics 87, 115-143.

    Article  Google Scholar 

  • Carpentier, A. and R. Weaver (1997), ‘Damage Control Productivity: Why Econometrics Matters’ American Journal of Agricultural Economics 79, 47-61.

    Article  Google Scholar 

  • Carver, P. and J. Boland (1980), ‘Short-and Long-Run Effects of Price on Municipal Water Use’ Water Resources Research 16(4), 609-616.

    Google Scholar 

  • Chicoine, D. and G. Ramamurthy (1986), ‘Evidence on the Specification of Price in the Study of Domestic Water Demand’ Land Economics 62(1), 26-32.

    Article  Google Scholar 

  • Credoc (1997), L'Eau et les Usages Domestiques. Comportements de consommation de l'eau dans les ménages, Cahier de Recherche numéro 104.

  • Foster, J. H. and B. Beattie (1979), ‘Urban Residential Demand forWater in the United States’ Land Economics 55(1), 43-58.

    Article  Google Scholar 

  • Guellec, A. (1995), Le Prix de l'Eau: de l'Explosion à la Maîtrise?, Rapport d'information numéro 2342, Assemblée Nationale.

  • Hansen, L. (1982), ‘Large Sample Properties of Generalized Method of Moment Estimators’ Econometrica 50, 1029-1054.

    Article  Google Scholar 

  • Hansen, L. (1996), ‘Water and Energy Price Impacts on Residential Water Demand in Copenhagen’ Land Economics 72(1), 66-79.

    Article  Google Scholar 

  • Hausman, J. (1978), ‘Specification Tests in Econometrics’ Econometrica 46(6), 1251-1271.

    Article  Google Scholar 

  • Hewitt, J. and W. Hanemann (1995), ‘A Discrete/Continuous Choice Approach to Residential Water Demand under Block Rate Pricing’ Land Economics 71(2), 173-192.

    Article  Google Scholar 

  • Höglund, L. (1997), Estimation of Household Demand for Water in Sweden and its Implications for a Potential Tax on Water Use, miméo, University of Göteborg.

  • Holtz-Eakin, D., W. Newey and H. Rosen (1988), ‘Estimating Vector Autoregressions with Panel Data’ Econometrica 56, 1371-1395.

    Article  Google Scholar 

  • Howe, C. and F. Linaweaver (1967), ‘The Impact of Price on Residential Water Demand and Its Relation to System Design and Price Structure’ Water Resources Research 3(1), 13-32.

    Article  Google Scholar 

  • Hsiao, C. (1986), Analysis of Panel Data. Cambridge University Press.

  • Mátyás, L. and P. Sevestre (1992), The Econometrics of Panel Data-Handbook of Theory and Applications. Kluwer Academic Publishers.

  • Nauges, C. and A. Thomas (2003), Consistent Estimation of Dynamic Panel Data Models with Time-Varying Individual effects, Annales D'Elononie et de Statistique, in press.

  • Nauges, C. and A. Thomas (2000), ‘Privately-operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The Case of France’ Land Economics 76(1), 68-85.

    Article  Google Scholar 

  • Nieswiadomy, M. and D. Molina (1989), ‘Comparing Residential Water Demand Estimates under Decreasing and Increasing Block Rates Using Household Data’ Land Economics 65(3), 281-289.

    Article  Google Scholar 

  • Point, P. (1993), ‘Partage de la Ressource en Eau et Demande d'Alimentation en Eau Potable’ Revue Economique 4, 849-862.

    Google Scholar 

  • Rivers, D. and Q. Vuong (1991), Model Selection Tests For Nonlinear Dynamic Models, Document de Travail, WP 91-08, INRA Toulouse.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nauges, C., Thomas, A. Long-run Study of Residential Water Consumption. Environ Resource Econ 26, 25–43 (2003). https://doi.org/10.1023/A:1025673318692

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1025673318692

Keywords

Navigation