Trends and random walks in macroeconomic time series: a re-examination
AbstractIn their 1982 article, C. R. Nelson and C. I. Plosser provided evidence supporting the existence of an autoregressive unit root in a variety of macroeconomic time series. The author reexamines their evidence using small-sample distributions for various unit root test statistics. These distributions are calculated from specific null and alternative models (including median-unbiased models that correct for OLS coefficient bias) estimated from the data. Contrary to earlier assertions, the null and alternative models of many macroeconomic series provide very different characterizations of persistence but cannot be distinguished with unit root tests. Copyright 1992 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
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Bibliographic InfoPaper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number 139.
Date of creation: 1990
Date of revision:
Other versions of this item:
- Rudebusch, Glenn D, 1992. "Trends and Random Walks in Macroeconomic Time Series: A Re-examination," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 661-80, August.
- Glenn D. Rudebusch, 1990. "Trends and random walks in macroeconomic time series: a re-examination," Working Paper Series / Economic Activity Section 105, Board of Governors of the Federal Reserve System (U.S.).
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