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Nelson-Plosser Revisited: the ACF Approach

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  • Karim Abadir
  • Giovanni Caggiano
  • Gabriel Talmain

Abstract

We detect a new stylized fact about the common dynamics of macroeconomic and financial aggregates. The rate of decay of the memory (or persistence) of these series is depicted by their autocorrelation functions (ACFs), and they all fit very closely a parsimonious four-parameter functional form that we present. Not only does our formula fit the data better than the ones that arise from autoregressive models, but it also yields the correct shape of the ACF. This can help policymakers understand the lags with which an economy evolves, and its turning points.

Suggested Citation

  • Karim Abadir & Giovanni Caggiano & Gabriel Talmain, 2005. "Nelson-Plosser Revisited: the ACF Approach," Working Papers 2005_7, Business School - Economics, University of Glasgow.
  • Handle: RePEc:gla:glaewp:2005_7
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    10. Rangan Gupta & Chi Keung Marco Lau & Mark E. Wohar, 2019. "The impact of US uncertainty on the Euro area in good and bad times: evidence from a quantile structural vector autoregressive model," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 353-368, May.
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    13. Caggiano, Giovanni & Castelnuovo, Efrem, 2011. "On the dynamics of international inflation," Economics Letters, Elsevier, vol. 112(2), pages 189-191, August.
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    19. Gianluca, MORETTI & Giulio, NICOLETTI, 2008. "Estimating DGSE models with long memory dynamics," Discussion Papers (ECON - Département des Sciences Economiques) 2008037, Université catholique de Louvain, Département des Sciences Economiques.
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