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Estimating Multioutput Technologies

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  • Robert G. Chambers
  • Richard E. Just

Abstract

This paper solves the problem of determining fixed but allocatable input allocations by dual methods. A flexible, profit function approach for estimating input-nonjoint technologies with allocatable fixed factors is developed. Variable input allocations can be calculated from the estimated technology. A correct test for input nonjointness that discriminates between true and apparent jointness is derived in a framework that permits fully linear estimation of a second-order flexible technology. To illustrate, these methods are applied to the Just-Zilberman-Hochman data set.

Suggested Citation

  • Robert G. Chambers & Richard E. Just, 1989. "Estimating Multioutput Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 980-995.
  • Handle: RePEc:oup:ajagec:v:71:y:1989:i:4:p:980-995.
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    File URL: http://hdl.handle.net/10.2307/1242674
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    Cited by:

    1. Alfons Oude Lansink, 1999. "Area Allocation Under Price Uncertainty on Dutch Arable Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 93-105.
    2. Briones, Roehlano M., 2016. "Embedding the AMPLE in a CGE Model to Analyze Intersectoral and Economy-Wide Policy Issues," Discussion Papers DP 2016-38, Philippine Institute for Development Studies.
    3. Keita, Moussa, 2012. "Impact of subsidized inputs credits on land allocation and market-oriented agriculture in rural households in Mali," MPRA Paper 57542, University Library of Munich, Germany.
    4. Burakov, D., 2016. "Oil Prices, Exchange Rate and Prices for Agricultural Commodities: Empirical Evidence from Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 0(Number 2), pages 1-15, June.
    5. Jones, Donald W. & Dale, Virginia H. & Beauchamp, John J. & Pedlowski, Marcos A. & O'Neill, Robert V., 1995. "Farming in Rondonia," Resource and Energy Economics, Elsevier, vol. 17(2), pages 155-188, August.
    6. Moro, Daniele & Sckokai, Paolo, 1999. "Modelling the CAP Arable Crop Regime in Italy : Degree of Decoupling and Impact of Agenda 2000," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 0.
    7. Femenia, Fabienne & Letort, Elodie, 2016. "How to significantly reduce pesticide use: An empirical evaluation of the impacts of pesticide taxation associated with a change in cropping practice," Ecological Economics, Elsevier, vol. 125(C), pages 27-37.
    8. repec:eee:ecolec:v:147:y:2018:i:c:p:134-154 is not listed on IDEAS
    9. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    10. Emmanuel Tumusiime & B. Wade Brorsen & Jeffrey D. Vitale, 2014. "Vertical integration in West Africa's cotton industry: are parastatals a second best solution?," Agricultural Economics, International Association of Agricultural Economists, vol. 45(S1), pages 129-143, November.
    11. Koutchade, Philippe & Carpentier, Alain & Femenia, Fabienne, 2015. "Accounting for unobserved heterogeneity in micro-econometric agricultural production models: a random parameter approach," 2015 Conference, August 9-14, 2015, Milan, Italy 212015, International Association of Agricultural Economists.
    12. Dmitry Burakov, 2016. "Elasticity of Agricultural Prices in Russia: An Empirical Study of Energy and Monetary Channels," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 551-562.
    13. Philippe Koutchade & Alain Carpentier & Fabienne Féménia, 2015. "Empirical modeling of production decisions of heterogeneous farmers with random parameter models," Working Papers SMART - LERECO 15-10, INRA UMR SMART-LERECO.
    14. Bashir, Kamaleldin Ali, 1990. "Technical change in Iowa agricultural production: a conditional demand approach," ISU General Staff Papers 1990010108000017619, Iowa State University, Department of Economics.
    15. Oczkowski, Eddie & Bandara, Yapa, 2013. "CGE modelling, regional economies, water buybacks," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 0(Issue 3).
    16. Ball, V. Eldon & Moss, Charles B. & Erickson, Kenneth W. & Nehring, Richard F., 2003. "Modeling Supply Response In A Multiproduct Framework Revisited: The Nexus Of Empirics And Economics," 2003 Annual meeting, July 27-30, Montreal, Canada 21981, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    17. Alfons Oude Lansink & Spiro Stefanou & Magdalena Kapelko, 2015. "The impact of inefficiency on diversification," Journal of Productivity Analysis, Springer, vol. 44(2), pages 189-198, October.
    18. Mekbib G. Haile & Matthias Kalkuhl & Joachim Braun, 2014. "Inter- and intra-seasonal crop acreage response to international food prices and implications of volatility," Agricultural Economics, International Association of Agricultural Economists, vol. 45(6), pages 693-710, November.
    19. 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.

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