Selección de modelos no anidados. Un estudio de Monte Carlo
AbstractEn 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.
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Bibliographic InfoArticle provided by Estudios de Economía Aplicada in its journal Estudios de Economía Aplicada.
Volume (Year): 7 (1997)
Issue (Month): (Junio)
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Find related papers by 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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- Gordon Fisher & Michael McAleer, 1981.
"Alternative Procedures and Associated Tests of Significance for Non-Nested Hypotheses,"
420, Queen's University, Department of Economics.
- 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.
- Yanqin Fan & Qi Li, 1995. "Bootstrapping J-type tests for non-nested regression models," Economics Letters, Elsevier, vol. 48(2), pages 107-112, May.
- Davidson, Russell & MacKinnon, James G, 1981.
"Several Tests for Model Specification in the Presence of Alternative Hypotheses,"
Econometric Society, vol. 49(3), pages 781-93, May.
- Russell Davidson & James G. MacKinnon, 1980. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Working Papers 378, Queen's University, Department of Economics.
- Davidson, Russell & MacKinnon, James G, 1982.
"Some Non-Nested Hypothesis Tests and the Relations among Them,"
Review of Economic Studies,
Wiley Blackwell, vol. 49(4), pages 551-65, October.
- Russell Davidson & James G. MacKinnon, 1980. "Some Non-Nested Hypothesis Tests and the Relations Among Them," Working Papers 409, Queen's University, Department of Economics.
- 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.
- 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.
- Pesaran, M H, 1974. "On the General Problem of Model Selection," Review of Economic Studies, Wiley Blackwell, vol. 41(2), pages 153-71, April.
- Pesaran, M H & Deaton, Angus S, 1978. "Testing Non-Nested Nonlinear Regression Models," Econometrica, Econometric Society, vol. 46(3), pages 677-94, May.
- 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.
- Godfrey, Leslie G, 1983. "Testing Non-Nested Models after Estimation by Instrumental Variables or Least Squares," Econometrica, Econometric Society, vol. 51(2), pages 355-65, March.
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