Estimating Urban Residential Water-Demand With Increasing Block Prices: The Case of Perth, Western Australia
This study uses panel data at suburb level to estimates the elasticity water demands in Perth, Australia from 1995 to 2005. After deriving the consumer’s water demand under a non-linear budget constraint, we estimate the water demand model, which accounts for how water (and other purchased goods) is used to satisfy fundamental desires of the household. We have applied the specification of price that provided the correctly estimated marginal price from the block tariff structure, and employed a maximum likelihood estimation technique to tackle the endogeneity and heteroskedasticity issues. Our estimation of water demand price elasticities are slightly higher (more elastic) than previous study in Perth, but broadly in line with other estimates in the literature.
|Date of creation:||2008|
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- Muellbauer, John, 1974. "Household Production Theory, Quality, and the "Hedonic Technique."," American Economic Review, American Economic Association, vol. 64(6), pages 977-994, December.
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- R. Martínez-Espiñeira, 2003. "Estimating Water Demand under Increasing-Block Tariffs Using Aggregate Data and Proportions of Users per Block," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 5-23, September.
- Céline Nauges & Alban Thomas, 2000. "Privately Operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The Case of France," Land Economics, University of Wisconsin Press, vol. 76(1), pages 68-85.
- 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.
- Arbues, Fernando & Garcia-Valinas, Maria Angeles & Martinez-Espineira, Roberto, 2003. "Estimation of residential water demand: a state-of-the-art review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 81-102, March.
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