Measuring the Private Benefits from Connections to Public Water Systems in Developing Countries: A Case Study of the Punjab,Pakistan
This paper reports the results of a model applying a random utility framework (RUM) to the connection decisions made by rural households in Pakistan to public water systems. Decisions took place over a number of years are treated as instantaneous with appropriate adjustment for changes in the general price level. The findings support the model both for predicting connection decisions and estimating household willingness to pay (WTP) for such public water supplies. Comparisons based on estimates of WTP and connection decisions between RUM and contingent valuation estimates for independent villages support the framework as well.
|Date of creation:||1997|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: (919) 660-1800
Fax: (919) 684-8974
Web page: http://econ.duke.edu/
When requesting a correction, please mention this item's handle: RePEc:duk:dukeec:97-24. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Department of Economics Webmaster)
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.