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Are US macroeconomic series difference stationary or trend-break stationary?

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  • Amit Sen

Abstract

This article tests for the presence of a unit-root in all time series included in the extended Nelson-Plosser data set using the statistics devised by Zivot and Andrews, Perron and Murray and Zivot. It specifies the mixed model characterization of the trend-break stationary alternative that allows for a simultaneous break in both the intercept and slope of the trend-function. It rejects the unit-root null hypothesis for real GNP, nominal GNP, real per capita GNP, industrial production, employment, GNP deflator, nominal wages, interest rate and common stock prices. Use of appropriate critical values to assess the significance of the trend-function coefficients reveals that the slope-break should be included in real GNP, nominal GNP, real per capita GNP, nominal wages, interest rate and common stock prices. The results indicate that there is less evidence against the unit-root hypothesis with the extended Nelson-Plosser data compared to the original Nelson-Plosser data.

Suggested Citation

  • Amit Sen, 2004. "Are US macroeconomic series difference stationary or trend-break stationary?," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2025-2029.
    • Handle: RePEc:taf:applec:v:36:y:2004:i:18:p:2025-2029
    DOI: 10.1080/0003684042000228696
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    1. Perron, Pierre & Vogelsang, Timothy J., "undated". "Level Shifts and Purchasing Power Parity," Instructional Stata datasets for econometrics levshift, Boston College Department of Economics.
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    4. Narayan, Paresh Kumar & Narayan, Seema & Smyth, Russell, 2011. "Energy consumption at business cycle horizons: The case of the United States," Energy Economics, Elsevier, vol. 33(2), pages 161-167, March.
    5. Steven Cook, 2007. "Further results on the detection of changes in persistence in linear time series," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 145-150.

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