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COMPUTING LIMITING LOCAL POWERS AND POWER ENVELOPES OF PANEL MA UNIT ROOT TESTS AND STATIONARITY TESTS

Published online by Cambridge University Press:  18 September 2018

Katsuto Tanaka*
Affiliation:
Gakushuin University
*
*Address correspondence to Katsuto Tanaka, Faculty of Economics, Gakushuin University, Mejiro, Toshima-ku, Tokyo 171-8588, Japan; e-mail: katsuto.tanaka@gakushuin.ac.jp.

Abstract

The present article discusses panel unit root tests for two classes of models. One is the moving average (MA) model and the other is the error components model. We conduct score type tests for these models, allowing for various types of regressors, and examine the cross-sectional effect explicitly by presenting an efficient way of computing limiting local powers. It is found that the existence of common regressors does not affect the asymptotic behavior of tests, although heterogeneous regressors do. We also derive the limiting power envelopes for some simple panel models, which shows that the score type panel tests are asymptotically efficient, unlike the time series case.

Type
ARTICLES
Copyright
Copyright © Cambridge University Press 2018 

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Footnotes

I thank the editor Peter C.B. Phillips, the co-editor Guido Kuersteiner, and three anonymous referees for helpful comments, which greatly improved a previous version of the article.

References

REFERENCES

Breitung, J. (2000) The local power of some unit root tests for panel data. Advances in Econometrics 15, 161178.CrossRefGoogle Scholar
Hadri, K. (2000) Testing for stationarity in heterogeneous panels. Econometrics Journal 3, 148161.CrossRefGoogle Scholar
Imhof, J.P. (1961) Computing the distribution of quadratic forms in normal variables. Biometrika 48, 419426.CrossRefGoogle Scholar
Moon, H.R., Perron, B., & Phillips, P.C.B. (2007) Incidental trends and the power of panel unit root tests. Journal of Econometrics 141, 416459.CrossRefGoogle Scholar
Nabeya, S. (2000) Asymptotic distributions for unit root test statistics in nearly integrated seasonal autoregressive models. Econometric Theory 16, 200230.CrossRefGoogle Scholar
Nabeya, S. & Tanaka, K. (1988) Asymptotic theory of a test for the constancy of regression coefficients against the random walk alternative. Annals of Statistics 16, 218235.CrossRefGoogle Scholar
Nyblom, J. & Mäkeläinen, T. (1983) Comparisons of tests for the presence of random walk coefficients in a simple linear model. Journal of the American Statistical Association 78, 856864.CrossRefGoogle Scholar
Phillips, P.C.B. & Moon, H.R. (1999) Linear regression limit theory for nonstatonary panel data. Econometrica 67, 10571111.CrossRefGoogle Scholar
Shin, Y. & Snell, A. (2006) Mean group tests for stationarity in heterogeneous panels. Econometrics Journal 9, 123158.CrossRefGoogle Scholar
Tanaka, K. (1990) Testing for a moving average unit root. Econometric Theory 6, 433444.CrossRefGoogle Scholar
Tanaka, K. (1996) Time Series Analysis: Nonstationary and Noninvertible Distribution Theory. Wiley.Google Scholar
Tanaka, K. (2017) Time Series Analysis: Nonstationary and Noninvertible Distribution Theory, 2nd ed. Wiley.CrossRefGoogle Scholar