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Provedor de dados:  AgEcon
País:  United States
Título:  IRRIGATION WATER DEMAND: A META ANALYSIS OF PRICE ELASTICITIES
Autores:  Scheierling, Susanne M.
Loomis, John B.
Young, Robert A.
Data:  2004-05-17
Ano:  2004
Palavras-chave:  Resource /Energy Economics and Policy
Resumo:  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.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  14391

http://purl.umn.edu/20300
Editor:  AgEcon Search
Relação:  American Agricultural Economics Association>2004 Annual meeting, August 1-4, Denver, CO
Selected Paper
Formato:  25

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