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Testing for output convergence: a re-examination

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  • Yin-Wong Cheung
  • Antonio Garcia Pascual

Abstract

This paper investigates output convergence for the G7 countries using panel time-series techniques. We consider both the null hypotheses of no convergence and convergence. It is shown that inferences on output convergence depend on which one of the two null hypotheses is considered. Further, the no convergence results reported in previous studies using the time-series definition may be attributed to the low power of the test procedures being used. Our results also highlight some potential problems on interpreting results from some typical panel unit root and stationarity tests. Copyright 2004, Oxford University Press.

Suggested Citation

  • Yin-Wong Cheung & Antonio Garcia Pascual, 2004. "Testing for output convergence: a re-examination," Oxford Economic Papers, Oxford University Press, vol. 56(1), pages 45-63, January.
    • Handle: RePEc:oup:oxecpp:v:56:y:2004:i:1:p:45-63
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    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
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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