Searching for a Break in GNP
It has been suggested that existing estimates of the long-run impact of a surprise move in income may have a substantial upward bias due to the presence of a trend break in postwar U.S. gross national product data. This article shows that the statistical evidence does not warrant abandoning the no-trend-break null hypothesis. A key part of the argument is that conventionally computed p values overstate the likelihood of the trend-break alternative hypothesis. This is because they do not take into account that, in practice, the date is chosen based on pretest examination of the data.
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Volume (Year): 10 (1992)
Issue (Month): 3 (July)
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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.:
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3122545, Harvard University Department of Economics.
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- Lucrezia Reichlin & Peter Rappoport, 1989.
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- Edward C. Prescott, 1986.
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Federal Reserve Bank of Minneapolis, issue Fall, pages 9-22.
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- Lawrence J. Christiano, 1987. "Why is consumption less volatile than income?," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 2-20.
- Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
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