IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/276.html
   My bibliography  Save this paper

A taxa natural de juros no Brasil

Author

Listed:
  • Teles, Vladimir Kuhl
  • Ribeiro, Alessandra Cocarelli Alves

Abstract

In this paper, the natural rate of interest for the brazilian economy was estimated between end of 2001 and second quarter of 2010 based on two models, being the first the method suggested by Laubach and Williams and the second, the one suggested by Mesónnier and Renne, which is a altered version of the first one, that according to authors allows a more transparent and robust estimation. In both models, the natural rate of interest is estimated jointly with potential output, using the Kalman filter, in a state-space format. The two models estimates have not presented a significant difference, which generates more confidence in the produced results. Considering the period of more interest of this paper (after 2005), the estimates show that the natural rate of interest has been falling in the brazilian economy since 2006. The measurement of the natural rate of interest, additionally, allowed an assessment of the monetary policy implemented by the Brazilian Central Bank in the last years through the interest rate gap concept. In general, the analysis has showed a more conservative Central Bank between 2001 end and 2005 and neutral since then. This conclusion differs from others analysis, specially for the first period.

Suggested Citation

  • Teles, Vladimir Kuhl & Ribeiro, Alessandra Cocarelli Alves, 2011. "A taxa natural de juros no Brasil," Textos para discussão 276, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    • Handle: RePEc:fgv:eesptd:276
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/7593fbb8-d1ed-4664-93a9-7fc6daaf6523/download
    Download Restriction: no
    ---><---

    Other versions of this item:

    • Alessandra Ribeiro & Vladimir K. Teles, 2013. "Taxa Natural de Juros no Brasil," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 14(1c), pages 733-750.

    Citations

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


    Cited by:

    1. Andreza A Palma, 2016. "Natural interest rate in Brazil: further evidence frThe main objective of this study is to estimate the natural interest rate for Brazil using a parsimonious AR-trend-bound model proposed by Chan, Koo," Economics Bulletin, AccessEcon, vol. 36(3), pages 1306-1314.
    2. Alberto Ronchi Neto & Osvaldo Candido, 2020. "Measuring the neutral real interest rate in Brazil: a semi-structural open economy framework," Empirical Economics, Springer, vol. 58(2), pages 651-667, February.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

    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:fgv:eesptd:276. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eegvfbr.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.