Мобильная версия

Доступно журналов:

3 288

Доступно статей:

3 891 637

 

Скрыть метаданые

Автор Pesaran, Bahram
Автор Hashem Pesaran, M.
Дата выпуска 1995
dc.description This paper considersthe applicationof the simulated Cox test procedure developed in Pesaran and Pesaran (1993) to test linear versus log-linear models. The test procedure can also be applied to other generalized linear regression models such as level-difference stationary models versus the log-difference stationary models. In order to compare the small sample performanceof the proposed test with other tests extant in the literature, the paper also reports the resultsof a numberof Monte Carlo experiments using the experimental framework of Godfrey et al. (1988). The Monte Carlo results provide strong support for a simplified version of the simulatedCox test over the PE and the BM tests, but suggest that there is little to choose between the simulated Cox test and the DL test.
Формат application.pdf
Издатель Marcel Dekker, Inc.
Копирайт Copyright Taylor and Francis Group, LLC
Тема Simulatedcoxtest
Тема Non-Nestedhypothesis
Тема Log-Differencedmodels
Тема Monte Carlo Experiments
Название A non-nested test of level-differenced versus log-differenced stationary models
Тип research-article
DOI 10.1080/07474939508800316
Electronic ISSN 1532-4168
Print ISSN 0747-4938
Журнал Econometric Reviews
Том 14
Первая страница 213
Последняя страница 227
Аффилиация Pesaran, Bahram; Bank of England, University of East London
Аффилиация Hashem Pesaran, M.; Trinity College
Выпуск 2
Библиографическая ссылка Aneuryn-Evans, G. and Deaton, A. 1980. Testing linear versus logarithmic regression models. Review of Economic Studies, 47: 275–291.
Библиографическая ссылка Bera, A. K. and McAleer, M. 1989. Nested and non-nested procedures for testing linear and log-linear regression models. Sankhya, 51: 212–224.
Библиографическая ссылка Box, G. E. P. and Cox, D. R. 1964. An analysis of transformations. Journal of the Royal Statistical Society, 26: 211–252.
Библиографическая ссылка Cox, D. R. Tests of separate families of hypotheses. Proceedings of the Fourth Berkeley Symposium. Vol. 1, pp.105–123. University of California Press.
Библиографическая ссылка Cox, D. R. 1962. Further results on tests of separate families of hypothesis. Journal of the Royal Statistical Society, 24: 406–424.
Библиографическая ссылка Davidson, J. E. H., Hendry, D. R., Srba, F. and Yeo, S. 1978. Econometric modelling ofthe aggregate timeseries relationship between consumers' expenditure and income in the United Kingdom. The Economic Journal, 88: 661–692.
Библиографическая ссылка Davidson, R. and MacKinnon, J. G. 1981. Several tests for model specification in the presence of alternative hypotheses. Econometrica, 49: 781–793.
Библиографическая ссылка Davidson, R. and MacKinnon, J. G. 1984. Model specification tests based on artificial linear regressions. International Economic Review, 25: 485–502.
Библиографическая ссылка Davidson, R. and MacKinnon, J. G. 1985. Testing linear and log-linear regressions against Box-Cox alternatives. Canadian Journal of Economics, 18: 499–517.
Библиографическая ссылка Godfrey, L. G., McAleer, M. and McKenzie, C. R. 1988. Variable addition and Lagrange multiplier tests for linear and logarithmic regression models. Review of Economics and Statistics, 70: 492–503.
Библиографическая ссылка Godfrey, L. G. and Wickens, M. 1981. Testing linear and log-linear regressions for functional form. Review of Economic Studies, 48: 487–496.
Библиографическая ссылка Higgins, M. L. and Bera, A. K. 1991. “ARCH and bilinearity ascompeting models for non-linear dependence Mimeo”. University of Wisconsin-Milwaukee. Department of Economics
Библиографическая ссылка MacKinnon, J. G., White, H. and Davidson, R. 1983. Tests for model specification in the presence of alternative hypothesis: some further results. Journal of Econometrics, 21: 53–70.
Библиографическая ссылка Pesaran, M. H. 1987. Global and partial non-nested hypotheses and asymptotic local power. Econometric Theory, 3: 69–97.
Библиографическая ссылка Pesaran, M. H. and Pesaran, B. 1991. “Microfit 3.0: An Interactive Econometric Software Package”. Oxford: Oxford University Press.
Библиографическая ссылка Pesaran, M. H. and Pesaran, B. 1993. A simulation approach to the problem of computing Cox's statistic for testing non-nested models. Journal of Econometrics, 57: 377–392.
Библиографическая ссылка Ramsey, J. B. 1969. Tests for specification errors in classical linear leastsquare regression analysis. Journal of the Royal Statistical Society, 31: 350–371.
Библиографическая ссылка Ripley, B. D. 1987. Stochastic Simulation, New York: John Wiley.
Библиографическая ссылка Sargan, J. D. 1964. “Wages and prices in the United Kingdom: a study in econometric methodology”. In Econometrics Analysis for National Economic Planning, Edited by: Hart, P. E., Mills, G. and Whitaker, J. K. London: Butterworths.
Библиографическая ссылка White, H. 1980. Using least squares to approximate unknown regression functions. International Economic Review, 21: 149–170.
Библиографическая ссылка Witchman, B. A. and Hill, I. D. 1982. An efficient and portable psuedo-random number generator (Algorithm AS 183). Applied Statistics, 31: 188–190.

Скрыть метаданые