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Testing of Stochastic Trends, Seasonal and Cyclical Components in Macroeconomil Time Series

  • Gil-Alana Luis A. (University of Navarre, Department of Economics)
  • Published : 2005.04.01

Abstract

We propose in this article a procedure for testing unit and fractional orders of integration, with the roots simultaneously occurring in the trend, the seasonal and the cyclical component of the time series. The tests have standard null and local limit distributions. However, finite sample critical values are computed, and several Monte Carlo experiments conducted across the paper show that the rejection frequencies against unit (and fractional) orders of integration are relatively high in all cases. The tests are applied to the UK consumption and income series, the results showing the importance of the roots corresponding to the trend and the seasonal components and, though the unit roots are found to be fairly suitable models, we show that fractional processes (including one for the cyclical component) may also be plausible alternatives in some cases.

Keywords

References

  1. Ahtola, J. and Tiao, G.C. (1987). Distributions of least squares estimators of autoregressive parameters for a process with complex roots on the unit circle, Journal of Time Series Analysis, vol. 8, 1 14
  2. Arteche, J. (2002). Semiparametric robust tests on seasonal and cyclical long memory series, Journal of Time Series Analysis, vol. 23, 1 35
  3. Arteche, J. and Robinson, P.M. (2000). Semiparametric inference in seasonal and cyclical long memory processes, Journal of Time Series Analysis, vol. 21, 1 25
  4. Baillie, R.T. (1996). Long memory processes and fractional integration in econometrics, Journal of Econometrics, vol. 73, 5 59
  5. Baillie, R.T. and Bollerslev, T. (1989). Common stochastic trends in a system of exchange rates, Journal of Finance, vol. 44, 167 181
  6. Bierens, H.J. (2001), Complex unit roots and business cycles. Are they real?, Econometric Theory, vol. 17, 962 983
  7. Box, G.E.P. and Jenkins, G.M. (1970). Time series analysis: Forecasting and control. Holden Day, San Francisco
  8. Canova, F. and Hansen, B.S. (1995). Are seasonal pattern constant over time? A test for seasonal stability, Journal of Business and Economic Statistics, vol. 13, 237 252
  9. Chung, C.F. (1996a). Estimating a generalized long memory process, Journal of Econometrics, vol. 73, 237 259
  10. Chung, C.F. (1996b). A generalized fractionally integrated autoregressive moving average process, Journal of Time Series Analysis, vol. 17, 111 140
  11. Dickey, D.A. and Fuller, W.A. (1979). Distributions of the estimators for autoregressive time series with a unit root, Journal of the American Statistical Association, vol. 74, 427 431
  12. Dickey, D.A., Hasza, D.P. and Fuller, W.A. (1984). Testing for unit roots in seasonal time series, Journal of the American Statistical Association, vol. 79, 355 367
  13. Diebold, F.X. and Rudebusch, G. (1989). Long memory and persistence in aggregate output, Journal of Monetary Economics, vol. 24, 189 209
  14. Ferrara, L. and Guegan, D. (2001), Forecastng with k factor Gegenbauer processes, Journal of Forecasting, vol. 20, 581 601
  15. Gil Alana, L.A. (2000a). Mean reversion in the real exchange rates, Economics Letters, vol. 69, 285 288
  16. Gil Alana, L.A. (2000b). Evaluation of Robinson's (1994) tests in finite samples, Journal of Statistical Computation and Simulation, vol. 68, 39 64
  17. Gil Alana, L.A. (2001). Testing stochastic cycles in macroeconomic time series, Journal of Time Series Analysis, vol. 22, 411 430
  18. Gil Alana, L.A. and Robinson, P.M. (1997). Testing of unit roots and other non stationary hypotheses in macroeconomic time series, Journal of Econometrics, vol. 80, 241 268
  19. Gil Alana, L.A. and Robinson, P.M. (2001). Testing seasonal fractional integration in the UK and Japanese consumption and income, Journal of Applied Econometrics, vol. 16, 95 114
  20. Gray, H.L., Yhang, N. and Woodward, W.A. (1989). On generalized fractional processes, Journal of Time Series Analysis, vol. 10, 233 257
  21. Gray, H.L., Yhang, N. and Woodward, W.A. (1994). On generalized fractional processes. A correction, Journal of Time Series Analysis, vol. 15, 561 562
  22. Hylleberg, S., Engle, R.F., Granger, C.W.J. and Yoo, B.S. (1990). Seasonal integration and cointegration, Journal of Econometrics, vol. 44, 215 238
  23. Kwiatkowski, D, Phillips, P.C.B., Schmidt P. and Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root, Journal of Econometrics, vol. 54, 159 178
  24. Nelson, C.R. and Plosser, C.L (1982). Trends and random walks in macroeconomic time series, Journal of Monetary Economics, vol. 10, 139 162
  25. Phillips, P.C.B. and Perron, P. (1988). Testing for a unit root in time series regression, Biometrika, vol. 75, 335 346
  26. Press, W.H., Flannnery, B.P., Teukolsky, S.A. and Wetterling, W.T. (1986). Numerical recipes. The art of scientific computing, Cambridge University Press, Cambridge
  27. Robinson, P.M. (1994). Efficient tests of non stationary hypotheses, Journal of the American Statistical Association, vol. 89, 1420 1437