Is Germany's GDP Trend-Stationary? A Measurement-With-Theory Approach / Ist das deutsche BIP trendstationär: Ein Measurement-With-Theory Ansatz
The time series properties of German GDP have been re-examined in recent research. Extending the sample to include GDP data from 1950 onwards, some researchers argued in favor of a trend-stationary rather than difference stationary representation of real log GDP. I show that this conclusion is based on an atheoretic trend model underlying the unit root tests. A simple linear trend model fails to take the post World-War II catch-up process properly into account. I use the Solow growth model to discriminate between transitional catch-up dynamics and longrun equilibrium growth. With the proper transformation of GDP data, I am able to use standard unit root tests and find that both ADF and KPSS tests suggest a difference stationary model. This evidence is supported by non-standard unit root tests which allow for polynomial trend representations.
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Volume (Year): 225 (2005)
Issue (Month): 1 (February)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- N. Gregory Mankiw & David Romer & David N. Weil, 1990.
"A Contribution to the Empirics of Economic Growth,"
NBER Working Papers
3541, National Bureau of Economic Research, Inc.
- DeJong, David N, et al, 1992. "Integration versus Trend Stationarity in Time Series," Econometrica, Econometric Society, vol. 60(2), pages 423-33, March.
- Pierre Perron & Robert J. Shiller, 1984.
"Testing the Random Walk Hypothesis: Power Versus Frequency of Observation,"
Cowles Foundation Discussion Papers
732, Cowles Foundation for Research in Economics, Yale University.
- Shiller, Robert J. & Perron, Pierre, 1985. "Testing the random walk hypothesis : Power versus frequency of observation," Economics Letters, Elsevier, vol. 18(4), pages 381-386.
- Robert J. Shiller & Pierre Perron, 1985. "Testing the Random Walk Hypothesis: Power versus Frequency of Observation," NBER Technical Working Papers 0045, National Bureau of Economic Research, Inc.
- Lucke, Bernd & Lutkepohl, Helmut, 2004. "On unit root tests in the presence of transitional growth," Economics Letters, Elsevier, vol. 84(3), pages 323-327, September.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- Dumke, Rolf H, 1990. "Reassessing the Wirtschaftswunder: Reconstruction and Postwar Growth in West Germany in an International Context," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(4), pages 451-91, Special I.
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