IDEAS home Printed from https://ideas.repec.org/p/anp/en2001/019.html
   My bibliography  Save this paper

An Application of Quah And Vaheys Svar Methodology for Estimating Core Inflation in Brazil

Author

Listed:
  • Paulo Picchetti

    (USP)

  • Fabio Kanczuk

    (USP)

Abstract

No abstract is available for this item.

Suggested Citation

  • Paulo Picchetti & Fabio Kanczuk, 2001. "An Application of Quah And Vaheys Svar Methodology for Estimating Core Inflation in Brazil," Anais do XXIX Encontro Nacional de Economia [Proceedings of the 29th Brazilian Economics Meeting] 019, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    • Handle: RePEc:anp:en2001:019
    as

    Download full text from publisher

    File URL: http://www.anpec.org.br/encontro2001/artigos/200102165.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Michael F. Bryan & Stephen G. Cecchetti, 1994. "Measuring Core Inflation," NBER Chapters, in: Monetary Policy, pages 195-219, National Bureau of Economic Research, Inc.
    3. Michael F. Bryan & Stephen G. Cecchetti, 2001. "A Note on the Efficient Estimation of Inflation in Brazil," Working Papers Series 11, Central Bank of Brazil, Research Department.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joice John & Abhiman Das & Sanjay Singh, 2016. "An Application of Quah and Vahey’s SVAR Methodology for Estimating Core Inflation in India: A Note," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 151-158, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mio, Hitoshi, 2002. "Identifying Aggregate Demand and Aggregate Supply Components of Inflation Rate: A Structural Vector Autoregression Analysis for Japan," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 20(1), pages 33-56, January.
    2. Iris Claus, 1997. "A Measure of Underlying Inflation in the United States," Staff Working Papers 97-20, Bank of Canada.
    3. Durai, S. Raja Sethu & Ramachandran, M., 2007. "Core inflation for India," Journal of Asian Economics, Elsevier, vol. 18(2), pages 365-383, April.
    4. Ashima Goyal & Ayan Kumar Pujari, 2005. "Analyzing Core Inflation in India: A Structural VAR Approach," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(2), pages 76-90, May.
    5. Bagliano, Fabio C. & Morana, Claudio, 2003. "Measuring US core inflation: A common trends approach," Journal of Macroeconomics, Elsevier, vol. 25(2), pages 197-212, June.
    6. Landau, Bettina, 2000. "Core inflation rates: a comparison of methods based on west German data," Discussion Paper Series 1: Economic Studies 2000,04, Deutsche Bundesbank.
    7. Pascal Jacquinot, 2001. "L’inflation sous-jacente en France, en Allemagne et Royaume-Uni," Économie et Prévision, Programme National Persée, vol. 147(1), pages 171-185.
    8. Martha Misas Arango & Enrique López Enciso & Juana Téllez Corredor & José Fernando Escobar, 2005. "La Inflación Subyacente en Colombia: Un Enfoque de Tendencias Estocásticas Comunes Asociadas a un VEC Estructural," Borradores de Economia 324, Banco de la Republica de Colombia.
    9. George Kapetanios & Gonzalo Camba-Mendez, 2005. "Forecasting euro area inflation using dynamic factor measures of underlying inflation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(7), pages 491-503.
    10. Luis J. Álvarez & María de los Llanos Matea, 1999. "Underlying Inflation Measures in Spain," Working Papers 9911, Banco de España.
    11. Ashima Goyal & Arjun Singh, 2006. "Through a glass darkly: Deciphering the impact of oil price shocks," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2006-012, Indira Gandhi Institute of Development Research, Mumbai, India.
    12. Pacifique K. Murhula, 2021. "Trend of Core inflation in DRCongo : a model based on the Structural VAR approach [TENDANCE DE L'INFLATION SOUS-JACENTE EN RDC : une modélisation à partir de l'approche VAR Structurelle ]," Working Papers hal-03103775, HAL.
    13. Tsyplakov Alexander, 2004. "Constructing Core Inflation Index for Russia," EERC Working Paper Series 04-04e, EERC Research Network, Russia and CIS.
    14. Fabio DI DIO & Francesco FELICI, 2009. "Estimating Core Inflation In Norway," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 4(3(9)_Fall).
    15. Murhula, Pacifique, 2020. "Tendance de l'inflation sous-jacente en RDC: une modélisation à partir de l'approche VAR structurelle [Trend of Core inflation in DRCongo: a model based on the Structural VAR approach]," MPRA Paper 105005, University Library of Munich, Germany, revised 08 Jan 2021.
    16. Araujo, Eurilton & Fiorencio, Antonio, 2002. "Frequency Domain Analysis of Core Inflation Measures for Brasil," Insper Working Papers wpe_28, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    17. Seiler, Volker, 2024. "The relationship between Chinese and FOB prices of rare earth elements – Evidence in the time and frequency domain," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 160-179.
    18. Evans, Charles L. & Marshall, David A., 2007. "Economic determinants of the nominal treasury yield curve," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 1986-2003, October.
    19. Nautz, Dieter & Strohsal, Till & Netšunajev, Aleksei, 2019. "The Anchoring Of Inflation Expectations In The Short And In The Long Run," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1959-1977, July.
    20. Bonhomme, Stphane & Robin, Jean-Marc, 2009. "Consistent noisy independent component analysis," Journal of Econometrics, Elsevier, vol. 149(1), pages 12-25, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:anp:en2001:019. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Rodrigo Zadra Armond (email available below). General contact details of provider: https://edirc.repec.org/data/anpecea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.