Irrigation water demand: A meta‐analysis of price elasticities

By S. M. Scheierling, Jackson Loomis, R. Young. 2006

193 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/dfd354b1af9c233482161c3c6c27b30bdd33435d

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In Ocean Engineering

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Citations in the corpus

Fixed Effects Estimation of the Intensive and Extensive Margins of Irrigation Water Demand (2012, background): “In a meta-analysis of 24 water demand studies, estimates of the elasticity ranged from -0.001 to -1.97, with a mean of -0.48 and a standard deviation of 0.53 (Scheierling, Loomis, and Young, 2006).”
Hydro-economic models: concepts, design, applications, and future prospects. (2009, background): “For small systems, operation rule parameters can be solved for directly (Schoups et al., 2006a); for large systems they can be derived by statistically analyzing optimal operations (Lund and Ferreira, 1996).”
The Economics of Managing Scarce Water Resources (2010, methodology): “48 (Scheierling et al. 2006), although estimates vary widely and, unlike in the industrial and residential sectors, often approach zero.”
Values of natural and human‐made wetlands: A meta‐analysis (2010, methodology): “The potential of meta‐analysis in identifying the sources of variation in empirical value estimates [Johnston et al., 2003; Scheierling et al., 2006 ] and as a tool for value transfer [Bergstrom and Taylor, 2006; Rosenberger and Loomis, 2000b] is generally acknowledged.”
The Economic Valuation of Environmental Amenities and Disamenities: Methods and Applications (2009, background): “Because production data are sometimes more difficult to obtain than residential consumption data, estimating the demand functions in these sectors can be more challenging (49, 117).”
ECONOMICS AND THE MODELING OF WATER RESOURCES AND POLICIES (2012, background): “(See Young [2005] for a discussion of these issues and Scheierling et al. [2006] for a survey and meta-analysis of irrigation water demand studies in the United States).”
A meta-analysis of residential water demand studies (2014, methodology): “The WLS procedure is being attractive in meta-analysis literature (Stanley and Doucouliagos 2012, 2013; Delmas et al. 2013; Benos and Zotou 2013; Asenso-Boadi et al. 2008; Scheierling 2006; Nelson 2004 and de Blaeij et al. 2003) and is based on the hypothesis that estimations of primary studies with”