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Searching for a Break in GNP

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  • Christiano, Lawrence J

Abstract

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.

Suggested Citation

  • Christiano, Lawrence J, 1992. "Searching for a Break in GNP," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 237-250, July.
  • Handle: RePEc:bes:jnlbes:v:10:y:1992:i:3:p:237-50
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    References listed on IDEAS

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    1. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
    2. Prescott, Edward C., 1986. "Theory ahead of business-cycle measurement," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 25(1), pages 11-44, January.
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