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Pseudo Data As A Teaching Tool: Application To The Translog, Multiproduct Profit Function

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  • Hertel, Thomas W.
  • McKinzie, Lance

Abstract

This paper argues that the use of "laboratory" data sets can add substantially to the teaching of production economics at the graduate level. Optimal experimental designs for generating pseudo data from a process model are discussed. These are shown to depend of the functional form to be estimated. We choose the translog form for our multiproduct profit function and compare alternative approaches to estimation, using pseudo data from a farm-level linear programming model. Particular restrictions on this profit function are also considered. Finally, aggregation of output prices is shown to alter substantially input price elasticities of demand.

Suggested Citation

  • Hertel, Thomas W. & McKinzie, Lance, 1986. "Pseudo Data As A Teaching Tool: Application To The Translog, Multiproduct Profit Function," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(1), pages 1-12, July.
    • Handle: RePEc:ags:wjagec:32546
    DOI: 10.22004/ag.econ.32546
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    References listed on IDEAS

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    1. McFadden, Daniel, 1978. "Cost, Revenue, and Profit Functions," Histoy of Economic Thought Chapters, in: Fuss, Melvyn & McFadden, Daniel (ed.),Production Economics: A Dual Approach to Theory and Applications, volume 1, chapter 1, McMaster University Archive for the History of Economic Thought.
    2. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (II): Applications of the Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 2, number fuss1978a.
    3. Sakai, Yasuhiro, 1974. "Substitution and expansion effects in production theory: The case of joint production," Journal of Economic Theory, Elsevier, vol. 9(3), pages 255-274, November.
    4. Lau, Lawrence J., 1976. "A characterization of the normalized restricted profit function," Journal of Economic Theory, Elsevier, vol. 12(1), pages 131-163, February.
    5. Lopez, Ramon E., 1982. "Applications Of Duality Theory To Agriculture," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 7(2), pages 1-14, December.
    6. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    7. Pope, Rulon D., 1982. "To Dual Or Not To Dual?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 7(2), pages 1-16, December.
    8. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    9. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
    10. Denny, Michael & Fuss, Melvyn A, 1977. "The Use of Approximation Analysis to Test for Separability and the Existence of Consistent Aggregates," American Economic Review, American Economic Association, vol. 67(3), pages 404-418, June.
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    Cited by:

    1. Eswaramoorthy, K., 1991. "U.S. livestock production and factor demand: a multiproduct dynamic dual approach," ISU General Staff Papers 1991010108000010523, Iowa State University, Department of Economics.
    2. Liu, Boying & Richard Shumway, C., 2016. "Substitution elasticities between GHG-polluting and nonpolluting inputs in agricultural production: A meta-regression," Energy Economics, Elsevier, vol. 54(C), pages 123-132.
    3. Aradhyula, Satheesh Venkata, 1989. "Policy structure, output supply and input demand for US crops," ISU General Staff Papers 198901010800009909, Iowa State University, Department of Economics.
    4. Mafoua, Edouard, 2002. "Economies Of Scope And Scale Of Multi-Product U.S. Cash Grain Farms: A Flexible Fixed-Cost Quadratic (Ffcq) Model Analysis," 2002 Annual meeting, July 28-31, Long Beach, CA 19734, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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