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Estimation and econometric tests under price and output uncertainties

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  • Moawia Alghalith

Abstract

We extend the existing estimation methods to allow empirical estimation and hypothesis testing under simultaneous price and output uncertainty. Our approach modifies and expands the use of duality theory. Furthermore, our approach does not require the specification or estimation of the production/cost function. In addition, our approach does not require the assumption of the statistical independence between price and output. Copyright © 2007 John Wiley & Sons, Ltd.

Suggested Citation

  • Moawia Alghalith, 2007. "Estimation and econometric tests under price and output uncertainties," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 23(6), pages 531-536, November.
    • Handle: RePEc:wly:apsmbi:v:23:y:2007:i:6:p:531-536
    DOI: 10.1002/asmb.692
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    Cited by:

    1. Elie Appelbaum & Aman Ullah, 1997. "Estimation Of Moments And Production Decisions Under Uncertainty," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 631-637, November.
    2. Zheng, Qiujie & Shumway, C. Richard, 2012. "Washington biofuel feedstock crop supply under output price and quantity uncertainty," Energy Policy, Elsevier, vol. 48(C), pages 515-525.
    3. Qiujie Zheng & C. Richard Shumway, 2008. "Washington Biofuel Feedstock Crop Supply Analysis," Working Papers 2008-24, School of Economic Sciences, Washington State University.

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