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Global identification of risk preferences with revealed preference data

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Author Info

  • Just, Richard E.
  • Just, David R.

Abstract

The concept of parameter identification (for a given specification) is differentiated from global identification (which specification is right). First-order conditions for production under risk are shown to admit many alternative specification pairs representing risk preferences and either perceived price risk, production risk, or the deterministic production structure. Imposing an arbitrary specification on any of the latter three determines which risk preference specification fits a given dataset, undermining global identification even when parameter identification is suggested by typical statistics. This lack of identification is not relaxed by increasing the number of observations. Critical implications for estimation of mean-variance specifications are derived.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Econometrics.

Volume (Year): 162 (2011)
Issue (Month): 1 (May)
Pages: 6-17

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Handle: RePEc:eee:econom:v:162:y:2011:i:1:p:6-17

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Web page: http://www.elsevier.com/locate/jeconom

Related research

Keywords: Risk Risk preferences Identification Stochastic technology;

References

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Citations

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Cited by:
  1. Cao, Ruixuan & Carpentier, Alain & Gohin, Alexandre, 2011. "Measuring farmers’ risk aversion: the unknown properties of the value function," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114623, European Association of Agricultural Economists.
  2. Elie Appelbaum & Ulrich Kohli, 1997. "Import Price Uncertainty And The Distribution Of Income," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 620-630, November.
  3. SĂ©bastien Foudi, 2012. "Exploitation of soil biota ecosystem services in agriculture: a bioeconomic approach," Working Papers 2012-02, BC3.
  4. 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.

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