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Building Confidence Intervals for the Band-Pass and Hodrick-Prescott Filters: An Application Using Bootstrapping

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Author Info
Francisco A. Gallego
Christian A. Johnson

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Abstract

This article generates innovative confidence intervals for two of the most popular de trending methods: Hodrick-Prescott and Band-Pass filters. The confidence intervals are obtained using block-bootstrapping techniques for dependent data. As an example, we present GDP trend growth and output gap intervals for the G7 economies. This new methodology will increase the usefulness of these filters by overcoming the absence of confidence intervals.

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File URL: http://www.bcentral.cl/estudios/documentos-trabajo/pdf/dtbc202.pdf
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Publisher Info
Paper provided by Central Bank of Chile in its series Working Papers Central Bank of Chile with number 202.

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Date of creation: Feb 2003
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Handle: RePEc:chb:bcchwp:202

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This paper has been announced in the following NEP Reports: References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Kevin J. Lansing, 2002. "Learning about a shift in trend output: implications for monetary policy and inflation," Working Papers in Applied Economic Theory 2000-16, Federal Reserve Bank of San Francisco. [Downloadable!]
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  2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Jesús Ferreyra & Jorge Salas, 2006. "The Equilibrium Real Exchange Rate in Peru: BEER Models and Confidence Band Building," Working Papers 2006-006, Banco Central de Reserva del Perú. [Downloadable!]
  2. Siem Jan Koopman & Kai Ming Lee, 2005. "Measuring Asymmetric Stochastic Cycle Components in U.S. Macroeconomic Time Series," Tinbergen Institute Discussion Papers 05-081/4, Tinbergen Institute. [Downloadable!]
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This page was last updated on 2009-6-25.

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