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A SIMPLE OMNIBUS OVERIDENTIFICATION SPECIFICATION TEST FOR TIME SERIES ECONOMETRIC MODELS

Published online by Cambridge University Press:  27 October 2014

Manuel A. Domínguez
Affiliation:
Universidad Complutense de Madrid
Ignacio N. Lobato*
Affiliation:
Instituto Tecnológico Autónomo de México
*
*Address correspondence to Ignacio Lobato, Centro de Investigación Económica, Instituto Tecnológico Autónomo de México (ITAM), Av. Camino a Santa Teresa #930, 10700 México, D.F., Mexico; e-mail: ilobato@itam.mx.

Abstract

Despite their theoretical advantages, Integrated Conditional Moment (ICM) specification tests are not commonly employed in the econometrics practice. An important reason is that the employed test statistics are nonpivotal, and so critical values are not readily available. This article proposes an omnibus test in the spirit of the ICM tests of Bierens and Ploberger (1997, Econometrica 65, 1129–1151) where the test statistic is based on the minimized value of a quadratic function of the residuals of time series econometric models. The proposed test falls under the category of overidentification restriction tests started by Sargan (1958, Econometrica 26, 393–415). The corresponding projection interpretation leads us to propose a straightforward wild bootstrap procedure that requires only linear regressions to estimate the critical values irrespective of the model functional form. Hence, contrary to other existing ICM tests, the critical values are easily calculated while the test preserves the admissibility property of ICM tests.

Type
MISCELLANEA
Copyright
Copyright © Cambridge University Press 2014 

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Footnotes

We thank an associate editor and a referee for useful comments, and Marine Carrasco, Miguel Delgado, and Juan Carlos Escanciano for useful conversations. Lobato acknowledges financial support from the Mexican CONACYT, reference number 151624, and from Asociación Mexicana de Cultura. This article was also supported by Spanish Ministry of Education, Plan Nacional I+D+i, SEJ2007-62908.

References

REFERENCES

Bierens, H. (1982) Consistent model specification tests. Journal of Econometrics 20, 105134.CrossRefGoogle Scholar
Bierens, H. & Ploberger, W. (1997) Asymptotic theory of integrated conditional moment test. Econometrica 65, 11291151.CrossRefGoogle Scholar
Billingsley, P. (1995) Probability and Measure. Wiley.Google Scholar
Davidson, R. & MacKinnon, J.G. (2006) Bootstrap methods in econometrics. In Patterson, K. & Mills, T.C. (eds.), Econometric Theory. Palgrave Handbook of Econometrics, vol. 1. MacMillan.Google Scholar
Delgado, M., Domínguez, M., & Lavergne, P. (2006) Consistent specification testing of conditional moment restrictions. Annales D’Economie et de Statistique 81, 3367.Google Scholar
Domínguez, M.A. (2004) On the power of bootstrapped specification tests. Econometric Reviews 23, 215228.Google Scholar
Domínguez, M.A. & Lobato, I.N. (2004) Consistent estimation of models defined by conditional moment restrictions. Econometrica 72, 16011615.CrossRefGoogle Scholar
Domínguez, M.A. & Lobato, I.N. (2010) Consistent inference in models defined by conditional moment restrictions: An alternative to GMM. Working paper, ITAM, Available at http://ftp.itam.mx/pub/academico/inves/lobato/10-05.pdf.Google Scholar
Escanciano, J.C. (2006) A consistent diagnostic test for regression models using projections. Econometric Theory 22(06), 10301051.CrossRefGoogle Scholar
Escanciano, J.C. (2009) On the lack of power of omnibus specification tests. Econometric Theory 25, 162194.Google Scholar
Hall, A. (2005) Generalized Method of Moments. Oxford University Press.Google Scholar
Hansen, L.P. (1982) Large-sample properties of generalized method of moments estimators. Econometrica 50, 10291054.CrossRefGoogle Scholar
Koul, H.L. & Stute, W. (1999) Nonparametric model checks for time series. Annals of Statistics 27, 204236.Google Scholar
Sargan, J.D. (1958) The estimation of economic relationships using instrumental variables. Econometrica 26, 393415.CrossRefGoogle Scholar
Shin, Y. (2008) Semiparametric estimation of the Box–Cox transformation model. Econometrics Journal 11, 517537.CrossRefGoogle Scholar
Stute, W. (1997) Nonparametric model checks for regression. Annals of Statistics 25, 613641.Google Scholar
Stute, W., González-Manteiga, W.G., & Presedo-Quindimil, M. (1998) Bootstrap approximations in model checks for regression. Journal of the American Statistical Association 83, 141149.CrossRefGoogle Scholar
Wooldridge, J.M. (1990) A unified approach to robust, regression-based specification tests. Econometric Theory 6, 1743.CrossRefGoogle Scholar