IDEAS home Printed from https://ideas.repec.org/p/ulp/sbbeta/9917.html
   My bibliography  Save this paper

A Switching Regression Approach to Spatial Patterns in Residential Water Demand

Author

Listed:
  • Théophile AZOMAHOU

Abstract

This study explores spatial regimes variation and the impact of public sector wa ter pricing for municipality aggregate residential water demand including electricity price effe cts. I compare estimations from two cross-sections (1988.1 and 1993.1) on a French lattice samp le, and propose a parametric spatial autoregressive regime switching model where water a verage price is approximated by a linear spline based on nonparametric regressions. I f ind evidence of spatial dependence. Consumers respond to both water and electricity average p rice. Changes in electricity price induce modifications of water consumption distribut ion according to patterns of water use. Public sector pricing results in shifts of role in reg imes between periods.

Suggested Citation

  • Théophile AZOMAHOU, 1999. "A Switching Regression Approach to Spatial Patterns in Residential Water Demand," Working Papers of BETA 9917, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
  • Handle: RePEc:ulp:sbbeta:9917
    as

    Download full text from publisher

    File URL: http://beta.u-strasbg.fr/WP/1999/9917.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Linear spline; public water pricing; spatial regim;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • 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:ulp:sbbeta:9917. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/bestrfr.html .

    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.