Choice is suffering: A Focused Information Criterion for model selection
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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- Manuel Frondel & Christoph M. Schmidt, 2006.
"The Empirical Assessment of Technology Differences: Comparing the Comparable,"
The Review of Economics and Statistics,
MIT Press, vol. 88(1), pages 186-192, February.
- 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.
- 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.
- Vetter, Mathias & Podolskij, Mark & Dette, Holger, 2004. "Estimation of integrated volatility in continuous time financial models with applications to goodness-of-fit testing," Technical Reports 2004,32, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
- 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.
- 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.
- 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.
- 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.
- Frondel, Manuel & Schmidt, Christoph M., 2001.
"Rejecting Capital-Skill Complementarity at all Costs,"
IZA Discussion Papers
316, Institute for the Study of Labor (IZA).
- Frondel, Manuel & Schmidt, Christoph M., 2003. "Rejecting capital-skill complementarity at all costs," Economics Letters, Elsevier, vol. 80(1), pages 15-21, July.
- Frondel, Manuel & Schmidt, Christoph M., 2001. "Rejecting capital-skill complementarity at all costs," ZEW Discussion Papers 01-27, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- 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.
- Claeskens, Gerda & Hjort, Nils Lid, 2008. "Minimizing Average Risk In Regression Models," Econometric Theory, Cambridge University Press, vol. 24(02), pages 493-527, April.
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