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A Supply Function For Dairy Products

Author

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  • Mules, T.J.

Abstract

Results of an investigation into factors affecting the aggregate supply of dairy products in Australia are presented. Empirical estimates of the parameters of the supply function, using ordinary least squares, indicate that some concept of average prices for dairy products is a more important determinant of supply than ratios of prices of dairy products relative to prices of production substitutes such as beef cattle or sheep and lambs. The empirical results also indicate that the quota-type effects of the various metropolitan fluid milk schemes are important in determining supply. Effects of new technology on supply could not be quantified due to intercorrelation of explanatory variables.

Suggested Citation

  • Mules, T.J., 1972. "A Supply Function For Dairy Products," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 16(3), pages 1-9, December.
  • Handle: RePEc:ags:ajaeau:23019
    DOI: 10.22004/ag.econ.23019
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    File URL: https://ageconsearch.umn.edu/record/23019/files/16030195.pdf
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    Citations

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    Cited by:

    1. Kym Anderson, 1974. "Distributed Lags And Barley Acreage Response Analysis," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 18(2), pages 119-132, August.
    2. Fisher, Brian S., 1974. "A Quarterly Model Of Agricultural Investment In Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 18(1), pages 1-10, April.
    3. Ryan, James G., 1975. "Using Input Demand And Production Function Models To Assess The Net Benefits Of Dairy Herd Improvement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 19(1), pages 1-16, April.
    4. Jung, Hanjoon Michael, 2011. "A Simple Model of Dairy Product Supply," MPRA Paper 29653, University Library of Munich, Germany.

    More about this item

    Keywords

    Demand and Price Analysis;

    Statistics

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