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A Methodological Note on a Stochastic Frontier Model for the Analysis of the Effects of Quality of Irrigation Water on Crop Yields

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  • George E. Battese

    (Centre for Efficiency and Productivity Analysis, School of Economic Studies, University of New England, Armidale, NSW, Australia.)

Abstract

A stochastic frontier model is proposed for analysis of crop yields, which considers the effects of differing quality of irrigation water, in addition to different inputs and factors associated with technical inefficiency of production. The parameters of the production frontier involved are assumed to be a function of other variables, which measure the quality of the irrigation water.

Suggested Citation

  • George E. Battese, 1998. "A Methodological Note on a Stochastic Frontier Model for the Analysis of the Effects of Quality of Irrigation Water on Crop Yields," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 37(3), pages 293-298.
    • Handle: RePEc:pid:journl:v:37:y:1998:i:3:p:293-298
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    File URL: http://www.pide.org.pk/pdf/PDR/1998/Volume3/293-298.pdf
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    References listed on IDEAS

    as
    1. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    2. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    3. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    Full references (including those not matched with items on IDEAS)

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