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Consecuencias de la modelizacion ARIMA para la extraccion de senales en coyuntura

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Author Info

  • Ernest Pons Fanals
  • Jordi Surinach Caralt

    (Universitat de Barcelona)

Abstract

In short-term evolution analysis, the economic time series are contamined by different types of noises which need to be erased in order to extract a trend signal. In the last years there has been increasingly developed some methods to estimate unobserved components based on the assumption that the economic series and their components follow ARIMA models. Nevertheless few atention has been focused to the practical consequences that arise from this assumption. In this paper, we discuss about some consequences from the ARIMA model based estimation of trend signal on economic time series, and relate that with its memory characteristics. Finally some of this problems are illustrated with the Spanish Industrial Production Index.

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Bibliographic Info

Paper provided by Universitat de Barcelona. Espai de Recerca en Economia in its series Working Papers in Economics with number 52.

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Length: 0 pages
Date of creation: 1999
Date of revision:
Handle: RePEc:bar:bedcje:199952

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Postal: Espai de Recerca en Economia, Facultat de Ciències Econòmiques. Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona. Spain.
Web page: http://www.ere.ub.es
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