Skip to main content
Log in

Testing for Unit Roots in a Nearly Nonstationary Spatial Autoregressive Process

  • Published:
Annals of the Institute of Statistical Mathematics Aims and scope Submit manuscript

Abstract

The limiting distribution of the normalized periodogram ordinate is used to test for unit roots in the first-order autoregressive model Ζst=α Ζs-1,t+βΖs,t-1-αβ Ζs-1,t-1st. Moreover, for the sequence α n = e c/n, β n = e d/n of local Pitman-type alternatives, the limiting distribution of the normalized periodogram ordinate is shown to be a linear combination of two independent chi-square random variables whose coefficients depend on c and d. This result is used to tabulate the asymptotic power of a test for various values of c and d. A comparison is made between the periodogram test and a spatial domain test.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Akidi, Y. (1995). Periodogram analysis for unit roots, Ph.D. Dissertation, Department of Statistics, North Carolina State University, Raleigh, North Carolina.

    Google Scholar 

  • Basu, S. and Reinsel, G. C. (1994). Regression models with spatially correlated errors, J. Amer. Statist. Assoc., 89, 88–99.

    Google Scholar 

  • Bhattacharyya, B. B., Khalil, T. M. and Richardson, G. D. (1996). Gauss-Newton estimation of parameters for a spatial autoregression model, Statist. Probab. Lett., 28, 173–179.

    Google Scholar 

  • Bhattacharyya, B. B., Richardson, G. D. and Franklin, L. A. (1997). Asymptotic inference for near unit roots in spatial autoregression, Ann. Statist., 25, 1709–1724.

    Google Scholar 

  • Bickel, P. J. and Wichura, M. J. (1971). Convergence criteria for multiparameter stochastic processes and some applications, Ann. Math. Statist., 42, 1656–1670.

    Google Scholar 

  • Billingsley, P. (1968). Convergence of Probability Measures, Wiley, New York.

    Google Scholar 

  • Bobkoski, M. J. (1983). Hypothesis testing in nonstationary time series, Ph.D. Dissertation, Department of Statistics, University of Wisconsin, Madison, Wisconsin.

    Google Scholar 

  • Breiman, L. (1968). Probability, Addison-Wesley, Reading, Massachusetts.

    Google Scholar 

  • Chan, N. H. and Wei, C. Z. (1987). Asymptotic inference for nearly nonstationary AR(1) processes, Ann. Statist., 15, 1050–1063.

    Google Scholar 

  • Cullis, B. R. and Gleeson, A. C. (1991). Spatial analysis of field experiments—an extension to two dimensions, Biometrics, 47, 1449–1460.

    Google Scholar 

  • Dickey, D. A. and Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root, J. Amer. Statist. Assoc., 74, 427–431.

    Google Scholar 

  • Dickey, D. A. and Fuller, W. A. (1981). Likelihood ratio statistics for autoregressive time series with a unit root, Econometrica, 49, 1057–1072.

    Google Scholar 

  • Hobson, E. W. (1957). The Theory of Functions of a Real Variable and the Theory of Fourier Series, Dover Publications, New York.

    Google Scholar 

  • Phillips, P. C. B. (1987). Towards a unified asymptotic theory for autoregression, Biometrika, 74, 535–547.

    Google Scholar 

  • Yeh, J. (1963). Cameron-Martin translation theorems in the Wiener space of functions of two variables, Trans. Amer. Math. Soc., 107, 409–420.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Bhattacharyya, B.B., Li, X., Pensky, M. et al. Testing for Unit Roots in a Nearly Nonstationary Spatial Autoregressive Process. Annals of the Institute of Statistical Mathematics 52, 71–83 (2000). https://doi.org/10.1023/A:1004184932031

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1004184932031

Navigation