IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Evaluation of Wavelet-based Core Inflation Measures: Evidence from Peru

  • Erick Lahura

    ()

    (Departamento de Economía - Pontificia Universidad Católica del Perú
    Banco Central de la Reserva del Perú)

  • Marco Vega

    ()

    (Departamento de Economía - Pontificia Universidad Católica del Perú
    Banco Central de la Reserva del Perú)

Under inflation targeting and other related monetary policy regimes, the identication of non-transitory inflation and forecasts about future inflation constitute key ingredients for monetary policy decisions. In practice, central banks perform these tasks using so-called "core inflation measures". In this paper we construct alternative core inflation measures using wavelet functions and multiresolution analysis (MRA), and then evaluate their relevance for monetary policy. The construction of wavelet-based core inflation measures (WIMs) is relatively new in the literature and their assessment has not been addressed formally, this paper being the first attempt to perform both tasks for the case of Peru. Another main contribution of this paper is that it proposes two alternative criteria for evaluating core inflation measures: (i) a VAR-based long-run criterion, and (ii) forecast-based criteria. Evidence from Peru shows that WIMs are superior in terms of long-run performance, and that they could improve short-term (up-to-6-months) inflation forecasts.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://departamento.pucp.edu.pe/economia/images/documentos/DDD320.pdf
Download Restriction: no

Paper provided by Departamento de Economía - Pontificia Universidad Católica del Perú in its series Documentos de Trabajo / Working Papers with number 2011-320.

as
in new window

Length: pages
Date of creation: 2011
Date of revision:
Publication status: published
Handle: RePEc:pcp:pucwps:wp00320
Contact details of provider: Postal: Av. Universitaria 1801, San Miguel, Lima, Perú
Phone: (511) 626-2000 ext. 4950, 4951
Fax: (511) 626-2874
Web page: http://departamento.pucp.edu.pe/economia/
Email:


More information through EDIRC

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.:

as in new window
  1. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
  2. Kevin Dowd & John Cotter, 2011. "U.S. Core Inflation: A Wavelet Analysis," Working Papers 200617, Geary Institute, University College Dublin.
  3. Christoph Schleicher, 2002. "An Introduction to Wavelets for Economists," Working Papers 02-3, Bank of Canada.
  4. Armas, Adrián & Vallejos , Lucy & Vega, Marco, 2011. "Indicadores tendenciales de inflación y su relevancia como variables indicativas de política monetaria," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 20, pages 27-56.
  5. Ribba, Antonio, 2003. "Permanent-transitory decompositions and traditional measures of core inflation," Economics Letters, Elsevier, vol. 81(1), pages 109-116, October.
  6. Danny Quah & Shaun Vahey, 1995. "Measuring Core Inflation," Bank of England working papers 31, Bank of England.
  7. Pesaran, M.H. & Timmermann, A., 1990. "A Simple Non-Parametric Test Of Predictive Performance," Papers 29, California Los Angeles - Applied Econometrics.
  8. Lahura Serrano, Erick W., 2004. "La relación dinero-producto, brecha del producto e inflación subyacente: algunas aplicaciones de las funciones Wavelets," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 11.
  9. Olivier Jean Blanchard & Danny Quah, 1988. "The Dynamic Effects of Aggregate Demand and Supply Disturbance," Working papers 497, Massachusetts Institute of Technology (MIT), Department of Economics.
  10. David Baqaee, 2009. "Using wavelets to measure core inflation: the case in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/05, Reserve Bank of New Zealand.
  11. Smith, Julie K, 2004. "Weighted Median Inflation: Is This Core Inflation?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(2), pages 253-63, April.
  12. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pcp:pucwps:wp00320. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.