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A Statistical Analysis Of A Pilot Survey Of Salt-Affected Dairy Farms

Author

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  • Alaouze, Chris M.
  • Read, Michael
  • Sturgess, Neil H.

Abstract

A small stratified sample was drawn from irrigated dairy farms judged to exhibit two degrees (high and low) of salting in the soil. Cobb-Douglas production functions were fitted to time series and cross sectional data for each stratum. The results support the conclusion that the data from the two strata can be pooled and that the quality of the soil in this area can be modelled using an analysis of covariance approach. A preliminary confidence interval for the geometric mean of the ratio of the shadow price of water to the price of butterfat for farms in the sample was also calculated. This interval supports the hypothesis that rationed irrigation water is worth more to these farms than the price paid.

Suggested Citation

  • Alaouze, Chris M. & Read, Michael & Sturgess, Neil H., 1985. "A Statistical Analysis Of A Pilot Survey Of Salt-Affected Dairy Farms," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 29(1), pages 1-14, April.
    • Handle: RePEc:ags:ajaeau:22512
    DOI: 10.22004/ag.econ.22512
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    References listed on IDEAS

    as
    1. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    2. Irving Hoch, 1976. "Returns to Scale in Farming: Further Evidence," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(4_Part_1), pages 745-749.
    3. P.J. Dawson & J. Lingard, 1982. "Management bias and returns to scale in a Cobb-Douglas production function for agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 9(1), pages 7-24.
    4. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
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