[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/rio/texdis/444.html
   My bibliography  Save this paper

Monetary policy during Brazil´s Real Plan: estimating the Central Bank´s reaction function

Author

Listed:
Abstract
This paper uses a Threshold Autoregressive (TAR) model with exogenous variables to explain a change in regime in Brazilian nominal interest rates. By using an indicator of currency crises -which is chosen endogenously - the model tries to explain the difference in the dynamics of nominal interest rates during and out of a currency crises. The paper then compares the performance of the nonlinear model to a modified Taylor Rule adjusted to Brazilian interest rates, and shows that the former performs considerably better than the latter.

Suggested Citation

  • Maria José Salgado & Márcio Gomes Pinto Garcia & Marcelo C. Medeiros, 2001. "Monetary policy during Brazil´s Real Plan: estimating the Central Bank´s reaction function," Textos para discussão 444, Department of Economics PUC-Rio (Brazil).
    • Handle: RePEc:rio:texdis:444
    as

    Download full text from publisher

    File URL: http://www.econ.puc-rio.br/uploads/adm/trabalhos/files/td444.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dolado Juan & Pedrero Ramón María-Dolores & Ruge-Murcia Francisco J., 2004. "Nonlinear Monetary Policy Rules: Some New Evidence for the U.S," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-34, September.
    2. Richard Clarida & Jordi Galí & Mark Gertler, 2000. "Monetary Policy Rules and Macroeconomic Stability: Evidence and Some Theory," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 147-180.
    3. Dionísio Dias Carneiro & Thomas Yen Hon Wu, 2001. "Contas externas e política monetária," Textos para discussão 442, Department of Economics PUC-Rio (Brazil).
    4. Bennett T. McCallum, 2000. "Alternative monetary policy rules : a comparison with historical settings for the United States, the United Kingdom, and Japan," Economic Quarterly, Federal Reserve Bank of Richmond, issue Win, pages 49-79.
    5. Eitrheim, Oyvind & Terasvirta, Timo, 1996. "Testing the adequacy of smooth transition autoregressive models," Journal of Econometrics, Elsevier, vol. 74(1), pages 59-75, September.
    6. Bec Frédérique & Ben Salem Mélika & Collard Fabrice, 2002. "Asymmetries in Monetary Policy Reaction Function: Evidence for U.S. French and German Central Banks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-22, July.
    7. Denise R. Osborn & Dong Heon Kim & Marianne Sensier, 2005. "Nonlinearity in the Fed's monetary policy rule," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 621-639.
    8. Clarida, Richard & Gali, Jordi & Gertler, Mark, 1998. "Monetary policy rules in practice Some international evidence," European Economic Review, Elsevier, vol. 42(6), pages 1033-1067, June.
    9. Dolado, Juan J. & Maria-Dolores, Ramon & Naveira, Manuel, 2005. "Are monetary-policy reaction functions asymmetric?: The role of nonlinearity in the Phillips curve," European Economic Review, Elsevier, vol. 49(2), pages 485-503, February.
    10. Laurence H. Meyer & Eric T. Swanson & Volker W. Wieland, 2001. "NAIRU Uncertainty and Nonlinear Policy Rules," American Economic Review, American Economic Association, vol. 91(2), pages 226-231, May.
    11. Nobay, A. R. & Peel, D. A., 2000. "Optimal monetary policy with a nonlinear Phillips curve," Economics Letters, Elsevier, vol. 67(2), pages 159-164, May.
    12. Márcio gomes Pinto Garcia & Marcus Vinicius Ferrero Valpassos, 1998. "Capital flows, capital controls and currency crisis: the case of Brazil in the nineties," Textos para discussão 389, Department of Economics PUC-Rio (Brazil).
    13. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    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. Melike Altinkemer, 2005. "Recent Experiences with Capital Controls : Is There A Lesson for Turkey?," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 5(2), pages 1-38.
    2. baaziz, yosra, 2016. "Les règles de Taylor à l’épreuve de la révolution : cas de l’Égypte [The Taylor rule to the test of the revolution: the case of Egypt]," MPRA Paper 69779, University Library of Munich, Germany.
    3. Fred IKLAGA, 2009. "Are Gap Models Policy Consistent? A Quarterly Prediction Model for Monetary Policy In Nigeria," EcoMod2009 21500042, EcoMod.
    4. Edilean Kleber da Silva & Marcelo Savino Portugal, 2010. "Central Bank Preferences And Monetary Rules Under The Inflation Targeting Regime In Brazil," Working Papers 07-2010, Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto.
    5. repec:fgv:epgrbe:v:67:n:4:a:6 is not listed on IDEAS
    6. Mendonça, Mario Jorge & Moreira, Tito Belchior S. & Sachsida, Adolfo, 2021. "Fiscal and monetary policy rules in Brazil: empirical evidence of monetary and fiscal dominance," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
    7. Marco A. F. H. Cavalcanti & Luciano Vereda, 2011. "Propriedades Dinâmicas de Um Modelo DSGE Com Parametrizações Alternativas Para o Brasil," Discussion Papers 1588, Instituto de Pesquisa Econômica Aplicada - IPEA.
    8. Elcyon C. R. Lima & Alexis Maka & Mário Mendonça, 2007. "Monetary Policy Regimes in Brazil," Discussion Papers 1285, Instituto de Pesquisa Econômica Aplicada - IPEA.
    9. Aragón, Edilean Kleber da Silva Bejarano & Portugal, Marcelo Savino, 2009. "Central Bank preferences and monetary rules under the inflation targeting regime in Brasil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 29(1), May.
    10. Edilean Kleber da Silva Bejarano Aragón & Marcelo Savino Portugal, 2008. "Nonlinearities in Central Bank of Brazil’s reaction function: the case of asymmetric preferences," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807151356590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. Knight John & Satchell Stephen, 2011. "Some New Results for Threshold AR(1) Models," Journal of Time Series Econometrics, De Gruyter, vol. 3(2), pages 1-42, April.
    12. Gonçalves, Fernando M & Holland, Marcio & Spacov, Andrei, 2007. "Can Jurisdictional Uncertainty and Capital Controls Explain the High Level of Real Interest Rates in Brazil? Evidence from Panel Data," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 61(1), August.
    13. Moreira, Tito Belchior Silva & Souza, Geraldo Silva & Ellery, Roberto, 2013. "An Evaluation of the tolerant to higher inflation rate in the short run by the Brazilian Central Bank in the period 2001-2012," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.

    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. Hasanov, Mübariz & Omay, Tolga, 2008. "Monetary policy rules in practice: Re-examining the case of Turkey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(16), pages 4309-4318.
    2. Denise R. Osborn & Dong Heon Kim & Marianne Sensier, 2005. "Nonlinearity in the Fed's monetary policy rule," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 621-639.
    3. Gabriela Bezerra De Medeiros & Marcelo Savino Portugal & Edilean Kleber Da Silva Bejarano Aragon, 2016. "Endogeneity And Nonlinearities In Central Bank Of Brazil’S Reaction Functions: An Inverse Quantile Regression Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    5. Neuenkirch, Matthias & Tillmann, Peter, 2014. "Inflation targeting, credibility, and non-linear Taylor rules," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 30-45.
    6. Gnabo, Jean-Yves & Moccero, Diego Nicolas, 2015. "Risk management, nonlinearity and aggressiveness in monetary policy: The case of the US Fed," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 281-294.
    7. Mehtap Kesriyeli & Denise R. Osborn & Marianne Sensier, 2006. "Nonlinearity and Structural Change in Interest Rate Reaction Functions for the US, UK and Germany," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 283-310, Emerald Group Publishing Limited.
    8. Pablo Gonzalez & Mauricio Tejada, 2006. "No linealidades en la regla de política monetaria del Banco Central de Chile: una evidencia empírica," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 21(1), pages 81-115, July.
    9. Shen, Chung-Hua & Lin, Kun-Li & Guo, Na, 2016. "Hawk or dove: Switching regression model for the monetary policy reaction function in China," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 94-111.
    10. Caglayan, Mustafa & Jehan, Zainab & Mouratidis, Kostas, 2012. "Asymmetric monetary policy rules for open economies: Evidence from four countries," MPRA Paper 37401, University Library of Munich, Germany.
    11. Shawn Chen‐Yu Leu & Jeffrey Sheen, 2006. "Asymmetric Monetary Policy in Australia," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 85-96, September.
    12. Paolo Surico, 2002. "Inflation Targeting and Nonlinear Policy Rules: the Case of Asymmetric Preferences," Macroeconomics 0210002, University Library of Munich, Germany, revised 23 Feb 2004.
    13. Vašíček, Bořek, 2012. "Is monetary policy in the new EU member states asymmetric?," Economic Systems, Elsevier, vol. 36(2), pages 235-263.
    14. Doyle, Matthew & Falk, Barry, 2010. "Do asymmetric central bank preferences help explain observed inflation outcomes?," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 527-540, June.
    15. Ahmad, Saad, 2016. "A multiple threshold analysis of the Fed's balancing act during the Great Moderation," Economic Modelling, Elsevier, vol. 55(C), pages 343-358.
    16. Stefano d'Addona & Ilaria Musumeci, 2013. "The British opt-out from the European Monetary Union: empirical evidence from monetary policy rules," Applied Financial Economics, Taylor & Francis Journals, vol. 23(23), pages 1783-1795, December.
    17. Narek Ohanyan & Aleksandr Grigoryan, 2021. "Measuring monetary policy: rules versus discretion," Empirical Economics, Springer, vol. 61(1), pages 35-60, July.
    18. de Sá, Rodrigo & Savino Portugal, Marcelo, 2015. "Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil," MPRA Paper 72746, University Library of Munich, Germany.
    19. Dolado Juan & Pedrero Ramón María-Dolores & Ruge-Murcia Francisco J., 2004. "Nonlinear Monetary Policy Rules: Some New Evidence for the U.S," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-34, September.
    20. de Sá, Rodrigo & Portugal, Marcelo S., 2015. "Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil," Economic Modelling, Elsevier, vol. 51(C), pages 72-83.

    More about this item

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rio:texdis:444. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/dpucrbr.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.