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Choice is suffering: A Focused Information Criterion for model selection

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  • Behl, Peter
  • Dette, Holger
  • Frondel, Manuel
  • Tauchmann, Harald

Abstract

In contrast to conventional measures, the Focused Information Criterion (FIC) allows the purpose-specific selection of models, thereby reflecting the idea that one kind of model might be appropriate for inferences on a parameter of interest, but not for another. Ever since its invention, the FIC has been increasingly applied in the realm of statistics, but this concept appears to be virtually unknown in the economic literature. Using a straightforward analytical example, this paper provides for a didactic illustration of the FIC and demonstrates its usefulness in economic applications.

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Bibliographic Info

Article provided by Elsevier in its journal Economic Modelling.

Volume (Year): 29 (2012)
Issue (Month): 3 ()
Pages: 817-822

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Handle: RePEc:eee:ecmode:v:29:y:2012:i:3:p:817-822

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Web page: http://www.elsevier.com/locate/inca/30411

Related research

Keywords: Akaike Information Criterion; Schwarz Information Criterion; Translog cost function;

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References

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  1. Hjort, Nils Lid & Claeskens, Gerda, 2006. "Focused Information Criteria and Model Averaging for the Cox Hazard Regression Model," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1449-1464, December.
  2. Schmidt, Christoph M. & Frondel, Manuel, 2002. "The empirical assessment of technology differences: comparing the comparable," ZEW Discussion Papers 02-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  3. Frondel, Manuel & Schmidt, Christoph M., 2003. "Rejecting capital-skill complementarity at all costs," Economics Letters, Elsevier, vol. 80(1), pages 15-21, July.
  4. Dette, Holger & Podolskij, Mark, 2008. "Testing the parametric form of the volatility in continuous time diffusion models--a stochastic process approach," Journal of Econometrics, Elsevier, vol. 143(1), pages 56-73, March.
  5. Manuel Frondel & Christoph M. Schmidt, 2002. "The Capital-Energy Controversy: An Artifact of Cost Shares?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 53-79.
  6. Considine, Timothy J., 1989. "Separability, functional form and regulatory policy in models of interfuel substitution," Energy Economics, Elsevier, vol. 11(2), pages 82-94, April.
  7. Holger Dette & Mark Podolskij & Mathias Vetter, 2006. "Estimation of Integrated Volatility in Continuous-Time Financial Models with Applications to Goodness-of-Fit Testing," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics & Finnish Statistical Society & Norwegian Statistical Association & Swedish Statistical Association, vol. 33(2), pages 259-278.
  8. Claeskens, Gerda & Hjort, Nils Lid, 2008. "Minimizing Average Risk In Regression Models," Econometric Theory, Cambridge University Press, vol. 24(02), pages 493-527, April.
  9. Christian T. Brownlees & Giampiero M. Gallo, 2008. "On Variable Selection for Volatility Forecasting: The Role of Focused Selection Criteria," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 6(4), pages 513-539, Fall.
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Cited by:
  1. Behl, Peter & Dette, Holger & Frondel, Manuel & Tauchmann, Harald, 2013. "Energy substitution: When model selection depends on the focus," Energy Economics, Elsevier, vol. 39(C), pages 233-238.
  2. Peter Behl & Holger Dette & Manuel Frondel & Harald Tauchmann, 2011. "Being Focused: When the Purpose of Inference Matters for Model Selection," Ruhr Economic Papers 0264, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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