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On Production Function Estimation with Selectivity and Risk Considerations

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Author Info

  • Koundouri, Phoebe
  • Nauges, Celine

Abstract

In the estimation of production functions, ignoring risk considerations can cause inefficient estimates, while biased parameter estimates arise in the presence of sample selection. In the presence of uncertainty and selection bias, the latter introduced by the endogeneity of qualitative characteristics of inputs in crop choice, we show that correcting for risk considerations (a la Just and Pope, 1978, 1979) but not selection bias, can produce incorrect inferences in terms of risk behavior. The arguments raised in this study have estimation and policy implications for stochastic production analysis applied to all goods whose qualitative characteristics can affect sample selection.

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File URL: http://purl.umn.edu/30977
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Bibliographic Info

Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 30 (2005)
Issue (Month): 03 (December)
Pages:

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Handle: RePEc:ags:jlaare:30977

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Web page: http://waeaonline.org/
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Related research

Keywords: crop choice; production risk; sample selection; Production Economics;

References

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  1. Koundouri, Phoebe, 2000. "Three approaches to measuring natural resource scarcity: theory and application to groundwater," MPRA Paper 38265, University Library of Munich, Germany.
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Cited by:
  1. Krishna, Vijesh V. & Zilberman, David & Qaim, Matin, 2009. "GM Technology Adoption, Production Risk and On-farm Varietal Diversity," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49173, Agricultural and Applied Economics Association.
  2. Khayyat, Nabaz T. & Heshmati, Almas, 2014. "Production Risk, Energy Use Efficiency and Productivity of Korean Industries," IZA Discussion Papers 8081, Institute for the Study of Labor (IZA).
  3. Krishna, Vijesh V. & Zilberman, David & Qaim, Matin, 2009. "Transgenic technology adoption and on-farm varietal diversity," 2009 Conference, August 16-22, 2009, Beijing, China 51750, International Association of Agricultural Economists.
  4. Abdulai, Awudu & Owusu, Victor & Bakang, John-Eudes A., 2011. "Adoption of safer irrigation technologies and cropping patterns: Evidence from Southern Ghana," Ecological Economics, Elsevier, vol. 70(7), pages 1415-1423, May.
  5. Santosh Poudel & Koji Kotani, 2013. "Climatic impacts on crop yield and its variability in Nepal: do they vary across seasons and altitudes?," Climatic Change, Springer, vol. 116(2), pages 327-355, January.
  6. Lence, Sergio H., 2008. "How Much Can We Learn About Producers' Utility Functions from Their Production Data?," Proceedings:2008 Agricultural and Rural Finance Markets in Transition, September 25-26, 2008, Kansas City, Missouri 119534, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.

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