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Selección de modelos no anidados. Un estudio de Monte Carlo

Author

Listed:
  • Pons Novell, Jordi

    (Universidad de Barcelona)

Abstract

En esta nota se realiza un estudio comparativo sobre dos criterios de selección de modelos no anidados, en concreto, el test J propuesto por Davidson y Mackinnon, y el test JA presentado por Fisher y McAleer. Mediante un ejercicio de simulación basado en un experimento de Monte Carlo se analiza si estos dos contrastes son sensibles ante cambios en la varianza del término de perturbación y en el tamaño muestral del Proceso Generador de Datos. This paper is concerned with the comparison of the J test and the JA test are very sensitive to values of the variance of Data Generating Process; the power of the JA test is low relative to those of the J test; and, finally, the estimated power and the estimatez size of both tests are also sensitive to simple size.

Suggested Citation

  • Pons Novell, Jordi, 1997. "Selección de modelos no anidados. Un estudio de Monte Carlo," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 7, pages 131-139, Junio.
  • Handle: RePEc:lrk:eeaart:7_2_7
    as

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    References listed on IDEAS

    as
    1. M. H. Pesaran, 1974. "On the General Problem of Model Selection," Review of Economic Studies, Oxford University Press, vol. 41(2), pages 153-171.
    2. Russell Davidson & James G. Mackinnon, 1982. "Some Non-Nested Hypothesis Tests and the Relations Among Them," Review of Economic Studies, Oxford University Press, vol. 49(4), pages 551-565.
    3. Godfrey, Leslie G, 1983. "Testing Non-Nested Models after Estimation by Instrumental Variables or Least Squares," Econometrica, Econometric Society, vol. 51(2), pages 355-365, March.
    4. Godfrey, L. G. & Pesaran, M. H., 1983. "Tests of non-nested regression models: Small sample adjustments and Monte Carlo evidence," Journal of Econometrics, Elsevier, vol. 21(1), pages 133-154, January.
    5. Fisher, Gordon R. & McAleer, Michael, 1981. "Alternative procedures and associated tests of significance for non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 16(1), pages 103-119, May.
    6. Pesaran, M H, 1982. "Comparison of Local Power of Alternative Tests of Non-Nested Regression Models," Econometrica, Econometric Society, vol. 50(5), pages 1287-1305, September.
    7. Pesaran, M H & Deaton, Angus S, 1978. "Testing Non-Nested Nonlinear Regression Models," Econometrica, Econometric Society, vol. 46(3), pages 677-694, May.
    8. Yanqin Fan & Qi Li, 1995. "Bootstrapping J-type tests for non-nested regression models," Economics Letters, Elsevier, vol. 48(2), pages 107-112, May.
    9. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    10. Pesaran, M. Hashem, 1987. "Global and Partial Non-Nested Hypotheses and Asymptotic Local Power," Econometric Theory, Cambridge University Press, vol. 3(01), pages 69-97, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Model selection criteria; non-nested models; simulation; J test and JA test;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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