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Are Real GDP Levels Trend, Difference, or Regime-Wise Trend Stationary? Evidence from Panel Data Tets Incorporating Structural Change

Author

Listed:
  • Natalie Hegwood

    () (Department of Economics and International Business, Sam Houston State University)

  • David H. Papell

    () (Department of Economics, University of Houston)

Abstract

The unit root hypothesis for international real GDP and real GDP per capita has been the subject of extensive investigation. Using panel methods that incorporate structural change, we reject the unit root null in favor of the alternative of trend stationarity, with one or two changes in the slope for two panels with postwar data and one or two changes in both the slope and the intercept for a panel with long-horizon data. We conclude that real GDP levels are better characterized as regime-wise trend stationary than as either trend stationary without structural change or difference stationary with unit roots.

Suggested Citation

  • Natalie Hegwood & David H. Papell, 2007. "Are Real GDP Levels Trend, Difference, or Regime-Wise Trend Stationary? Evidence from Panel Data Tets Incorporating Structural Change," Southern Economic Journal, Southern Economic Association, vol. 74(1), pages 104-113, July.
  • Handle: RePEc:sej:ancoec:v:74:1:y:2007:p:104-113
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    Cited by:

    1. Lopez, Claude & Papell, David H., 2012. "Convergence of Euro area inflation rates," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1440-1458.
    2. Nektarios Aslanidis & Stilianos Fountas, 2014. "Is real GDP stationary? Evidence from a panel unit root test with cross-sectional dependence and historical data," Empirical Economics, Springer, vol. 46(1), pages 101-108, February.
    3. Natalie D. Hegwood & Hiranya K. Nath, 2014. "Real Exchange Rate Dynamics: Evidence from India," Working Papers 1408, Sam Houston State University, Department of Economics and International Business.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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