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Comment on "The uncertain unit root in real GNP: A re-examination"

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  • Mishra, Tapas

Abstract

With the objective to settle the often conflicting and inconclusive extant debate on whether the observed secular growth can be characterized by a deterministic or stochastic trend, Darné comes up with an alternative method - the outlier detection methodology and studies the persistence properties of US real GNP for the period 1869-1993. Given that the presence of outliers in a time series - unless detected and adjusted - often render wrong impression on the persistence properties and their implications for long-run growth, Darné's contribution in this regard is significant. Outliers of varied types assume varying persistence profiles, therefore detection of them in the GNP growth is a pre-requisite for characterizing the series in a stochastic or deterministic setting. To further intuition on the exact nature of persistence, I applied fractional integration test of the four real GNP series and found that outlier adjusted GNP series are mean-reverting and are more persistent than original. The rate of convergence of stochastic shocks to long-run mean have important implications for growth dynamics.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Macroeconomics.

Volume (Year): 31 (2009)
Issue (Month): 1 (March)
Pages: 167-172

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Handle: RePEc:eee:jmacro:v:31:y:2009:i:1:p:167-172

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Web page: http://www.elsevier.com/locate/inca/622617

Related research

Keywords: Unit root Outlier methodology Stochastic trend in GNP Long-memory;

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Cited by:
  1. Marco Barassi & Matthew Cole & Robert Elliott, 2011. "The Stochastic Convergence of CO 2 Emissions: A Long Memory Approach," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 49(3), pages 367-385, July.
  2. Antonio E. Noriega & Cid Alonso Rodríguez-Pérez, 2011. "Stationarity, structural breaks, and economic growth in Mexico: 1895-2008," Working Papers 2011-11, Banco de México.
  3. Antonio E. Noriega & Daniel Ventosa-Santaulària, 2010. "Spurious Long-Horizon Regression in Econometrics," Working Papers 2010-06, Banco de México.

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