Hostname: page-component-848d4c4894-pjpqr Total loading time: 0 Render date: 2024-07-04T21:22:16.196Z Has data issue: false hasContentIssue false

Some Power Comparisons of Joint and Paired Tests for Nonnested Models under Local Hypotheses

Published online by Cambridge University Press:  18 October 2010

Naorayex K. Dastoor
Affiliation:
University of Alberta
Michael McAleer
Affiliation:
Australian National University

Abstract

This paper compares the asymptotic local power properties of some tests of a null model against a single nonnested alternative and against multiple nonnested alternatives, denoted hereafter as paired and joint tests, respectively. It is demonstrated that the ranking of tests on the basis of asymptotic local powers depends on the choice of local hypothesis. When a local null hypothesis is employed, it is not possible to rank the Wald and Cox-type paired or joint tests. However, when the local hypothesis is specified with reference to one of the alternative models under consideration, a ranking of different test procedures becomes possible. Under a local alternative hypothesis, it is shown that the paired Wald test will never have greater asymptotic local power than a paired Cox-type test.

Type
Articles
Copyright
Copyright © Cambridge University Press 1989

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1.Amemiya, T., Selection of regressors. International Economic Review 21 (1980): 331354.CrossRefGoogle Scholar
2.Atkinson, A.C.A method for discriminating between models. Journal of the Royal Statistical Society, Series B 32 (1970): 323353.Google Scholar
3.Cox, D.R. Tests of separate families of hypotheses. In Proceedings of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, Vol. 1, pp. 105123. Berkeley: University of California Press, 1961.Google Scholar
4.Cox, D.R.Further results on tests of separate families of hypotheses. Journal of the Royal Statistical Society, Series B 24 (1962): 406424.Google Scholar
5.Das Gupta, S. & Perlman, M.D.. Power of the noncentral F-test: effect of additional variâtes on Hotelling's T2-test. Journal of the American Statistical Association 69 (1974): 174180.Google Scholar
6.Dastoor, N.K.Some aspects of testing non-nested hypotheses. Journal of Econometrics 21 (1983): 213228.CrossRefGoogle Scholar
7.Dastoor, N.K. & McAleer, M.. On the consistency of joint and paired tests for non-nested regression models. Journal of Quantitative Economics 3 (1987): 6584.Google Scholar
8.Davidson, R. & MacKinnon, J.. Several tests for model specification in the presence of alternative hypotheses. Econometrica 49 (1981): 781793.CrossRefGoogle Scholar
9.Davidson, R. & MacKinnon, J.. Some non-nested hypothesis tests and the relations among them. Review of Economic Studies 49 (1982): 551565.CrossRefGoogle Scholar
10.Deaton, A.S. Model selection procedures, or does the consumption function exist? In Chow, G.C. and Corsi, P. (eds.), Evaluating the Reliability of Macroeconomic Models, pp. 4365. New York: John Wiley, 1982.Google Scholar
11.Ericsson, N.R.Asymptotic properties of instrumental variables statistics for testing nonnested hypotheses. Review of Economic Studies 50 (1983): 287304.CrossRefGoogle Scholar
12.Evans, G.B.A. & Savin, N.E.. Conflict among the criteria revisited: the W, LR and LM tests. Econometrica 50 (1982): 737748.CrossRefGoogle Scholar
13.Fisher, G.R. & McAleer, M.. Alternative procedures and associated tests of significance for non-nested hypotheses. Journal of Econometrics 16 (1981): 103119.CrossRefGoogle Scholar
14.Gill, L., Local power comparisons for tests of non-nested hypotheses. Unpublished paper, Department of Econometrics and Social Statistics, University of Manchester, 1983.Google Scholar
15.Godfrey, L.G. Testing non-nested models after estimation by instrumental variables or least squares. Econometrica 51 (1983): 355365.CrossRefGoogle Scholar
16.Gourieroux, C., Monfort, A., & Trognon, A.. Testing nested or non-nested hypotheses. Journal of Econometrics 21 (1983): 83115.CrossRefGoogle Scholar
17.Lien, D. & Vuong, Q.H.. Selecting the best linear regression model: a classical approach. Journal of Econometrics 35 (1987): 323.CrossRefGoogle Scholar
18.McAleer, M., Exact tests of a model against nonnested alternatives. Biometrika 70 (1983): 285288.CrossRefGoogle Scholar
19.McAleer, M. & Fisher, G.. Testing separate regression models subject to specification error. Journal of Econometrics 19 (1982): 125145.CrossRefGoogle Scholar
20.McAleer, M., Fisher, G., & Volker, P.. Separate misspecified regressions and the U.S. long run demand for money function. Review of Economics and Statistics 64 (1982): 572583.CrossRefGoogle Scholar
21.McAleer, M. & Pesaran, M.H.. Statistical inference in non-nested econometric models. Applied Mathematics and Computation 20 (1986): 271311.CrossRefGoogle Scholar
22.Mizon, G.E. & Richard, J.-F.. The encompassing principle and its application to non-nested hypotheses. Econometrica 54 (1986): 657678.CrossRefGoogle Scholar
23.Pesaran, M.H.On the general problem of model selection. Review of Economic Studies 41 (1974): 153171.CrossRefGoogle Scholar
24.Pesaran, M.H.On the comprehensive method of testing non-nested regression models. Journal of Econometrics 18 (1982): 263274.CrossRefGoogle Scholar
25.Pesaran, M.H.Comparison of local power of alternative tests of non-nested regression models. Econometrica 50 (1982): 12871305.CrossRefGoogle Scholar
26.Pesaran, M.H.Global and partial non-nested hypotheses and asymptotic local power. Econometric Theory 3 (1987): 6997.CrossRefGoogle Scholar
27.Pesaran, M.H. & Deaton, A.S.. Testing non-nested nonlinear regression models. Econometrica 46 (1978): 677694.CrossRefGoogle Scholar
28.Sawyer, K.R.Multiple hypothesis testing. Journal of the Royal Statistical Society, Series B 46 (1984): 419424.Google Scholar
29.Vuong, Q.H.Likelihood ratio tests for model selection and non-nested hypotheses. Social Science Working Paper No. 605, California Institute of Technology, 1986.Google Scholar
30.White, H., Regularity conditions for Cox's test of non-nested hypotheses. Journal of Econometrics 19 (1982): 301318.CrossRefGoogle Scholar