Irrigation Water Demand: A Meta Analysis Of Price Elasticities
Meta-regression models are estimated to investigate sources of variation in empirical estimates of the price elasticity of irrigation water demand. Elasticity estimates are drawn from mathematical programming, econometric and field experiment studies reported in the United States since 1963. Explanatory variables include method of analysis, water price, time-frame of analysis, farmers' adjustment options, type of data, and climate. Results indicate that the magnitudes of elasticity estimates are affected by the method of analysis. When separate regressions are performed for the estimates from each method, the price of water at which an elasticity is estimated as well as the time-frame of analysis are found to influence price elasticities.
|Date of creation:||2004|
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- Moore, Charles V. & Hedges, Trimble R., 1963. "A Method for Estimating the Demand for Irrigation Water," Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, issue 4.
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- Ian J. Bateman & Andrew P. Jones, 2003. "Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values," Land Economics, University of Wisconsin Press, vol. 79(2), pages 235-258.
- Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308. Full references (including those not matched with items on IDEAS)
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