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Robust Error Specification in a Production System

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  • Rulon D. Pope
  • Jeffrey LaFrance

Abstract

Economists who estimate demand or supply systems are often faced with the issue of whether to estimate with shares or quantities as the dependent variables. This paper reviews the implications of making the wrong choice in the context of normalized profit functions of competitive behavior. The implication is that inconsistent estimates are obtained if one makes the wrong choice. A robust structure is proposed which nests these forms (shares or quantities) in a general system and that allows the data to suggest which form is preferable. An application to the U.S. agricultural sector follows. Our results suggest that shares and quantities are rejected in favor of an alternative functional form.

Suggested Citation

  • Rulon D. Pope & Jeffrey LaFrance, 2012. "Robust Error Specification in a Production System," Monash Economics Working Papers 17-12, Monash University, Department of Economics.
    • Handle: RePEc:mos:moswps:2012-17
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    References listed on IDEAS

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    1. Jarvis, Lovell S, 1974. "Cattle as Capital Goods and Ranchers as Portfolio Managers: An Application to the Argentine Cattle Sector," Journal of Political Economy, University of Chicago Press, vol. 82(3), pages 489-520, May/June.
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    3. Gary D. Thompson & Mark Langworthy, 1989. "Profit Function Approximations and Duality Applications to Agriculture," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 791-798.
    4. Brown, Bryan W. & Walker, Mary Beth, 1995. "Stochastic specification in random production models of cost-minimizing firms," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 175-205.
    5. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    6. David Aadland & DeeVon Bailey, 2001. "Short-Run Supply Responses in the U.S. Beef-Cattle Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 826-839.
    7. Thompson, Gary D., 1988. "Choice Of Flexible Functional Forms: Review And Appraisal," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-15, December.
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    9. Amemiya, Takeshi & Powell, James L., 1981. "A comparison of the Box-Cox maximum likelihood estimator and the non-linear two-stage least squares estimator," Journal of Econometrics, Elsevier, vol. 17(3), pages 351-381, December.
    10. Berndt, Ernst R & Khaled, Mohammed S, 1979. "Parametric Productivity Measurement and Choice among Flexible Functional Forms," Journal of Political Economy, University of Chicago Press, vol. 87(6), pages 1220-1245, December.
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    Cited by:

    1. Binlei Gong, 2020. "New Growth Accounting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 641-661, March.
    2. Adélaïde Fadhuile & Stéphane Lemarié & Alain Pirotte, 2016. "Disaggregating the Demand for Pesticides: Does it Matter?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(2), pages 223-252, June.

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    More about this item

    Keywords

    Netputs; robust estimation;

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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