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Testing Integration of Macroeconomic Time Series in Transitional Socialist Economies. A Modification of Perron Test

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Abstract

The presence of structural breaks reduces the power of integration tests. A number of methods were suggested to improve the statistical properties of integration tests in the presence of structural breaks. The most known are Perron tests, which allow to test for the level of integration of time series with one structural break. Perron tests allow for two types of structural breaks: additive outlier an innovative outlier. These tests are, however, not very useful in testing the level of integration of macroeconomic time series in countries in transition from centrally-planned to market economy. In such case one should expect two structural breaks to affect the time series: one at the beginning and one at the end of the transformation process. Test that allows for two additive outlier type structural breaks in time series is developed in this paper. This test has superior power as compared to standard Dickey-Fuller and Perron tests. This paper provides asymptotic distribution as well as finite sample properties of proposed test. Therefore practitioners receive a reliable tool for analyzing macroeconomic processes in transitional economies.

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References

  • Bruno, M. (1989), 'Econometrics and the Design of Economic Reform', Econometrica.

  • Campbell, J., Perron, P. (1991), 'Pitfalls and Opportunities: What Macroeconomists Should Know About Unit Roots', University of Montreal Research Paper.

  • Campos, J., Ericsson, N., Hendry, D. (1993), 'Cointegration Tests in The Presence of Structural Breaks', FED International Finance Discussion Papers.

  • Charemza, W. (1993), 'Economic Transformation and Long-Run Relationships: the Case of Poland', University of Lecester Discussion Paper.

  • Davidson, R., Mackinnon, J. (1993), 'Estimation and Inference in Econometrics', Oxford University Press.

  • Dickey, D., Fuller, W. (1979), 'Distributions of the Estimators for Autoregressive Time Series With a Unit Root', Journal of the American Statistical Association.

  • Edmonds, G., O'Brien, R., Podivinsky, J. (1992), 'Unit Root Tests and Mean Shifts', Monash University, Australia, Working Paper.

    Google Scholar 

  • GAUSS: Manual and Library Reference, version 3.2, Aptech Systems.

  • Granger, C., Newbold, P. (1974), 'Spurious Regressions in Econometrics', Journal of Econometrics.

  • Hendry, D. (1984), 'Monte Carlo Experimentation in Econometrics', Handbook of Econometrics vol. 2.

  • Hendry, D., Neale, A. (1990), 'A Monte Carlo Study of the Impact of Structural Breaks on Tests for Unit Roots', in P. Hacle (ed) Statistical Analysis and Forecasting of Economic Structural Change, Springer Verlag.

  • Houck, J. (1977), 'An Approach to Specifying and Estimating Nonreversible Functions', American Journal of Agricultural Economics.

  • Mackinnon, J. (1991), 'Critical Values for Cointegration Tests', in R. Engle (ed) Long-run Economic Relationships, Readings in Cointegration, Oxford University Press.

  • McLeish, D. (1975), 'A Maximal Inequality and Dependent Strong Laws', Annals of Probability.

  • Nelson, C., Plosser, C. (1982), 'Trends and Random Walks in Macroeconomic Time Series', Journal of Monetary Economics.

  • Noriega-Muro, A. (1993), 'Nonstationarity and Structural Breaks in Economic Time Series', Avebury.

  • Perron, P. (1989), 'The Great Crash, the Oil Price Shosk, and the Unit Root Hypothesis', Econometrica.

  • Perron, P. (1991), 'Testing for a Unit Root in a Time Series with a Changing Mean', Journal of Business and Economic Statistics.

  • Phillips, P., Perron, P. (1988), 'Testing for a Unit Root in Time Series Regression', Biometrica.

  • Phillips, P. (1986), 'Understanding Spurious Regressions in Econometrics', Journal of Econometrics.

  • Phillips, P. (1987), 'Time Series Regression with a Unit Root', Econometrica.

  • Yule, G. (1926), 'Why Do We Sometimes Get Nonsense Correlations Between Time Series? A Study in Sampling and the Nature of Time Series', Journal of the Royal Statistical Society.

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Authors and Affiliations

  1. Department of Economics, University of Warsaw, ul. Dluga 44/50, Warsaw, Poland

    Krzysztof Rybinski

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  1. Krzysztof Rybinski
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Rybinski, K. Testing Integration of Macroeconomic Time Series in Transitional Socialist Economies. A Modification of Perron Test. Economics of Planning 30, 127–179 (1997). https://doi.org/10.1023/A:1003059724912

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  • DOI: https://doi.org/10.1023/A:1003059724912

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