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Approximate Distributions and Power of Test Statistics for Overidentifying Restrictions in a System of Simultaneous Equations

Published online by Cambridge University Press:  18 October 2010

Naoto Kunitomo*
Affiliation:
University of Tokyo

Abstract

We derive asymptotic expansions of the distributions of test statistics for over-identifying restrictions in a system of simultaneous equations under the null and the non-null hypotheses. We investigate the effects of the normality assumption for disturbances on the test statistics based on their asymptotic expansions. We also study the power functions of test statistics based on their asymptotic expansions. After modifying their critical regions to the same significance level, the power function of Basmann's statistic is larger than that of the likelihood ratio test when the variance of disturbances is sufficiently small. However, the difference in powers of the two test statistics disappears as the sample size grows larger.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1988 

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References

REFERENCES

1. Anderson, T.W. An asymptotic expansion of the distributions of the limited information maximum likelihood estimate in a simultaneous equation system. Journal of the American Statistical Association 9 (1974): 565573.Google Scholar
2. Anderson, T.W. Asymptotic expansions of the distributions of estimates in simultaneous equations for alternative parameter sequences. Econometrica 45 (1977): 509518.10.2307/1911225Google Scholar
3. Anderson, T.W. An introduction to multivariate analysis, Second Edition. John Wiley, 1984, New York.Google Scholar
4. Anderson, T.W. & Fang, K.T.. Distributions of quadratic forms and Cochran's theorem for elliptically contoured distributions and their applications. Technical Report No. 54, Department of Statistics, Stanford University, 1982.Google Scholar
5. Anderson, T.W. & Fang, K.T.. On the theory of multivariate elliptically contoured distributions and their applications. Technical Report No. 54, Department of Statistics, Stanford University, 1982.Google Scholar
6. Anderson, T.W. & Rubin, H.. Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics 21 (1949): 570582.10.1214/aoms/1177729752Google Scholar
7. Anderson, T.W., Kunitomo, N., & Morimune, K.. Comparing single equation estimators in a simultaneous equation system. Econometric Theory 2 (1986): 132.10.1017/S026646660001135XGoogle Scholar
8. Anderson, T.W., Morimune, K., & Sawa, T.. The numerical values of some key parameters in econometric models. Journal of Econometrics 16 (1980): 229243.Google Scholar
9. Basmann, R.L. On finite sample distributions of generalized classical linear identifiability test statistics. Journal of the American Statistical Association 55 (1969): 650659.10.1080/01621459.1960.10483365Google Scholar
10. Fujikoshi, Y., Morimune, K., Kunitomo, N., & Taniguchi, M.. Asymptotic expansions of the distributions of the estimates of coefficients in a simultaneous equation system. Journal of Econometrics 18 (1982): 191205.10.1016/0304-4076(82)90035-5Google Scholar
11. Kadane, J.B. Testing overidentifying restrictions when the disturbances are small. Journal of the American Statistical Association 65 (1970): 182185.10.1080/01621459.1970.10481072Google Scholar
12. Kadane, J.B. Comparison of κ-class estimators when the disturbances are small. Econometrica 45 (1971): 723737.10.2307/1909575Google Scholar
13. Kadane, J.B. & Anderson, T.W.. A comment on the test of overidentifying restrictions. Econometrica 45 (1977): 10271031.10.2307/1912691Google Scholar
14. Kunitomo, N., Morimune, K., & Tsukuda, Y.. Asymptotic expansions of the distribution of estimates of coefficients in simultaneous equation system when the disturbances are small. The Economic Studies Quarterly 32 (1981): 156163.Google Scholar
15. Kunitomo, N., Morimune, K., & Tsukuda, Y.. Asymptotic expansions of the distributions of the test statistics for overidentifying restrictions in a system of simultaneous equations. International Economic Review 24 (1983): 199215.10.2307/2526123Google Scholar
16. Magdalinos, A.M. The local power of the tests of overidentifying restrictions. Unpublished Manuscript, 1986.Google Scholar
17. McDonald, J.B. The exact finite sample distribution function of the limited information maximum likelihood identifiability test statistics. Econometrica 40 (1972): 11091119.Google Scholar
18. Morimune, K. & Sawa, T.. Decision rules for the choice of structural equations. Journal of Econometrics 14 (1980): 329347.10.1016/0304-4076(80)90031-7Google Scholar
19. Muirhead, R. Aspects of multivariate statistical analysis. John Wiley, New York, 1982.Google Scholar
20. Rhodes, G.F. Exact density and approximate critical regions for likelihood ratio identifiability test statistics. Econometrica 49 (1981): 10351057.10.2307/1912516Google Scholar
21. Rhodes, G.F. Testing single equation identifying restrictions with generalized regressors. In: Advances in Econometrics, Vol. II, pp. 97128, JAI Press, 1983.Google Scholar