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Production risk and the estimation of ex-ante cost functions

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  • Moschini, Giancarlo

Abstract

Cost function estimation under production uncertainty is problematic because the relevant cost is conditional on unobservable expected output. If input demand functions are also stochastic, then a nonlinear errors-in-variables model is obtained and standard estimation procedures typically fail to attain consistency. But by exploiting the full implications of the expected profit maximization hypothesis that gives rise to ex-ante cost functions, it is shown that the errors-in-variables problem can be effectively removed, and consistent estimation of the parameters of interest achieved. A Monte Carlo experiment illustrates the advantages of the proposed procedure as well as the pitfalls of other existing estimators.

Suggested Citation

  • Moschini, Giancarlo, 2001. "Production risk and the estimation of ex-ante cost functions," ISU General Staff Papers 200102010800001287, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:200102010800001287
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    1. Jesse B. Tack & Rulon D. Pope & Jeffrey T. LaFrance & Ricardo H. Cavazos, 2015. "Modelling an aggregate agricultural panel with application to US farm input demands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(3), pages 371-396.
    2. Bittencourt, Maurício Vaz Lobo, 2003. "Presence Of Stochastic Errors In The Input Demands: Are Dual And Primal Estimations Equivalent?," 2003 Annual meeting, July 27-30, Montreal, Canada 22096, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Cherchye, L. & Post, G.T., 2001. "Methodological Advances in Dea," ERIM Report Series Research in Management ERS-2001-53-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Just, David R., 2011. "Calibrating the wealth effects of decoupled payments: Does decreasing absolute risk aversion matter?," Journal of Econometrics, Elsevier, vol. 162(1), pages 25-34, May.
    5. Gouzaye, Amadou & Vitale, Jeffrey D. & Epplin, Francis M. & Adam, Brian D. & Stoecker, Arthur L., 2013. "The Value of Price Stabilization Policy for Cotton Producers in Burkina Faso," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142882, Southern Agricultural Economics Association.
    6. Just, Richard E., 2003. "Risk research in agricultural economics: opportunities and challenges for the next twenty-five years," Agricultural Systems, Elsevier, vol. 75(2-3), pages 123-159.
    7. Alston, Julian M. & Andersen, Matthew A. & Pardey, Philip G., 2006. "Asset Utilization and Bias in Measures of U.S. Agricultural Productivity," 2006 Annual meeting, July 23-26, Long Beach, CA 21220, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Just, Richard E., 2000. "Some Guiding Principles for Empirical Production Research in Agriculture," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 138-158, October.
    9. Emir Malikov & Diego Restrepo-Tobón & Subal Kumbhakar, 2015. "Estimation of banking technology under credit uncertainty," Empirical Economics, Springer, vol. 49(1), pages 185-211, August.
    10. Matthew Andersen & Julian Alston & Philip Pardey, 2012. "Capital use intensity and productivity biases," Journal of Productivity Analysis, Springer, vol. 37(1), pages 59-71, February.
    11. Polome, Philippe & Harmignie, Olivier & Frahan, Bruno Henry de, 2006. "Farm-level Acreage Allocation under Risk," 2006 Annual meeting, July 23-26, Long Beach, CA 21306, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Hansen, Kristiana & Frahan, Bruno Henry de, 2011. "Evaluation of Agro-Environmental Policy through a Calibrated Simulation Farm Model," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114577, European Association of Agricultural Economists.
    13. Esposti, Roberto & Pierani, Pierpaolo, 2002. "Public R&D Investment and Cost Behaviour in Italian Agriculture: 1960-1995," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24974, European Association of Agricultural Economists.
    14. Bittencourt, Mauricio Vaz Lobo & Sampaio, Armando Vaz, 2011. "Are Dual and Primal Estimations Equivalent in the Presence of Stochastic Errors in Input Demand?," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    15. Philippe K. Widmer & Maria Trottmann & Peter Zweifel, 2018. "Choice of reserve capacity by hospitals: a problem for prospective payment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(5), pages 663-673, June.
    16. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.
    17. Torres, Marcelo & Morrison Paul, Catherine J., 2006. "Driving forces for consolidation or fragmentation of the US water utility industry: A cost function approach with endogenous output," Journal of Urban Economics, Elsevier, vol. 59(1), pages 104-120, January.
    18. Wing, Ian Sue & De Cian, Enrica & Mistry, Malcolm N., 2021. "Global vulnerability of crop yields to climate change," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).

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