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Endogeneity Problems in the Estimation of Multi-Output Technologies

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  • Roibas, David
  • Arias, Carlos

Abstract

Empirical representations of multi-output technology use either quantities or ratios of outputs as explanatory variables. These specifications raise questions about the existence of endogeneity problems in the estimation of multi-output technology. We contribute to the analysis of this issue by distinguishing between two sources of endogeneity: endogeneity of the production plan and unobservability of the production plan (error in variables). Using Monte Carlo simulation, we explore the consequences of endogeneity for two empirical representations of multi-output technologies: the distance function and the transformation function. Particularly, we analyze the role played by the degree of correlation among output disturbances.

Suggested Citation

  • Roibas, David & Arias, Carlos, 2004. "Endogeneity Problems in the Estimation of Multi-Output Technologies," Efficiency Series Papers 2004/06, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    • Handle: RePEc:oeg:wpaper:2004/06
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    References listed on IDEAS

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    8. Q. Weninger & I. E. Strand, 2003. "An empirical analysis of production distortions in the mid-Atlantic surf clam and ocean quahog fishery," Applied Economics, Taylor & Francis Journals, vol. 35(10), pages 1191-1197.
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    Cited by:

    1. C. O’Donnell & K. Nguyen, 2013. "An econometric approach to estimating support prices and measures of productivity change in public hospitals," Journal of Productivity Analysis, Springer, vol. 40(3), pages 323-335, December.
    2. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63(1).
    3. Géraldine Henningsen & Arne Henningsen & Uwe Jensen, 2015. "A Monte Carlo study on multiple output stochastic frontiers: a comparison of two approaches," Journal of Productivity Analysis, Springer, vol. 44(3), pages 309-320, December.
    4. Lota D. Tamini & Bruno Larue & Gale West, 2012. "Technical and environmental efficiencies and best management practices in agriculture," Applied Economics, Taylor & Francis Journals, vol. 44(13), pages 1659-1672, May.
    5. Ana Rodríguez-Álvarez & Ignacio Rosal & José Baños-Pino, 2007. "The cost of strikes in the Spanish mining sector: modelling an undesirable input with a distance function," Journal of Productivity Analysis, Springer, vol. 27(1), pages 73-83, February.
    6. Mamardashvili, Phatima & Bokusheva, Raushan & Schmid, Dierk, 2014. "Heterogeneous Farm Output and Technical Efficiency Estimates," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(01), pages 1-15, March.

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