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Perceived Water Prices and Estimated Water Demand in the Residential Sector of Windhoek, Namibia. An Analysis of the Different Water Market Segments

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Author Info
Kavezeri-Karuaihe, Selma T.
Wandschneider, Philip
Yoder, Jonathan

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Abstract

We develop a demand model for the water market of Windhoek, Namibia, and segment the market by income. The model uses the perceived price concept developed by Shin (1985). Results confirm the Shin hypotheses that consumers don’t know actual prices, but respond to perceived prices. The average price and covariates have the expected signs. However, marginal price (MP) coefficient is positive. Shin’s perception parameter (k) is negative in two of three income segments. In the Shin model, this implies that consumers respond to MP (through perceived prices). Ambiguities about prices warrant further investigation.

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Publisher Info
Paper provided by Western Agricultural Economics Association in its series 2005 Annual Meeting, July 6-8, 2005, San Francisco, California with number 36289.

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Date of creation: 2005
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Handle: RePEc:ags:waeasa:36289

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Keywords: Resource /Energy Economics and Policy;

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  1. Graeme Dandy & Tin Nguyen & Carolyn Davies, 1997. "Estimating Residential Water Demand in the Presence of Free Allowances," Land Economics, University of Wisconsin Press, vol. 73(1), pages 125-139. [Downloadable!] (restricted)
  2. Renwick, Mary E. & Green, Richard D., 2000. "Do Residential Water Demand Side Management Policies Measure Up? An Analysis of Eight California Water Agencies," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 37-55, July. [Downloadable!] (restricted)
  3. R. Martínez-Espiñeira, 2003. "Estimating Water Demand under Increasing-Block Tariffs Using Aggregate Data and Proportions of Users per Block," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 26(1), pages 5-23, September. [Downloadable!] (restricted)
  4. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-98, November. [Downloadable!] (restricted)
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This page was last updated on 2009-12-26.


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