IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/72746.html
   My bibliography  Save this paper

Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil

Author

Listed:
  • de Sá, Rodrigo
  • Savino Portugal, Marcelo

Abstract

Whether central banks place the same weights on positive and negative deviations of inflation and of the output gap from their respective targets is an interesting question regarding monetary policy. The literature has sought to address this issue using a specific asymmetric function, the so-called Linex loss function. However, is the Linex an actually asymmetric specification? In an attempt to answer this question, we applied the sieve estimation method, a fully nonparametric approach, in which the result could be any proper loss function. This way, our results could corroborate the quadratic or Linex loss functions used in the literature or suggest an entirely new function. We applied the sieve estimation method to the United States and to Brazil, an emergent country which has consistently followed an inflation targeting regime. The economy was modeled with forward-looking agents and central bank commitment. Our results indicate that the FED was more concerned with inflation rates below the target, but no asymmetry was found in the inflation–output process in the Volcker–Greenspan period. As to Brazil, we found asymmetries in output gaps from 2004 onwards, when the Brazilian Central Bank was more concerned with positive output gaps; but we did not find any statistically significant asymmetries in inflation.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:72746
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/72746/1/MPRA_paper_72746.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Orphanides, Athanasios & Wieland, Volker, 2000. "Inflation zone targeting," European Economic Review, Elsevier, vol. 44(7), pages 1351-1387, June.
    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. Consolo, Agostino & Favero, Carlo A., 2009. "Monetary policy inertia: More a fiction than a fact?," Journal of Monetary Economics, Elsevier, vol. 56(6), pages 900-906, September.
    4. 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.
    5. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Business School - Economics, University of Glasgow, revised Mar 2002.
    6. Hamilton, James D, 2001. "A Parametric Approach to Flexible Nonlinear Inference," Econometrica, Econometric Society, vol. 69(3), pages 537-573, May.
    7. Michael Woodford, 1999. "Optimal Monetary Policy Inertia," Manchester School, University of Manchester, vol. 67(s1), pages 1-35.
    8. A. Robert Nobay & David A. Peel, 2003. "Optimal Discretionary Monetary Policy in a Model of Asymmetric Central Bank Preferences," Economic Journal, Royal Economic Society, vol. 113(489), pages 657-665, July.
    9. Xiaohong Chen & Xiaotong Shen, 1998. "Sieve Extremum Estimates for Weakly Dependent Data," Econometrica, Econometric Society, vol. 66(2), pages 289-314, March.
    10. Schaling, Eric, 2004. "The Nonlinear Phillips Curve and Inflation Forecast Targeting: Symmetric versus Asymmetric Monetary Policy Rules," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 36(3), pages 361-386, June.
    11. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    12. Chen, Xiaohong, 2007. "Large Sample Sieve Estimation of Semi-Nonparametric Models," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 76, Elsevier.
    13. 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.
    14. 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.
    15. Surico, Paolo, 2007. "The Fed's monetary policy rule and U.S. inflation: The case of asymmetric preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 305-324, January.
    16. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    17. Lars Ljungqvist & Thomas J. Sargent, 2004. "Recursive Macroeconomic Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 2, volume 1, number 026212274x, December.
    18. Sack, Brian & Wieland, Volker, 2000. "Interest-rate smoothing and optimal monetary policy: a review of recent empirical evidence," Journal of Economics and Business, Elsevier, vol. 52(1-2), pages 205-228.
    19. Xiaohong Chen & Sydney C. Ludvigson, 2009. "Land of addicts? an empirical investigation of habit‐based asset pricing models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1057-1093, November.
    20. Naraidoo, Ruthira & Raputsoane, Leroi, 2011. "Optimal monetary policy reaction function in a model with target zones and asymmetric preferences for South Africa," Economic Modelling, Elsevier, vol. 28(1-2), pages 251-258, January.
    21. Carl Chiarella & Peter Flaschel & Gang Gong & Willi Semmler, 2002. "Nonlinear Phillips Curves, Complex Dynamics and Monetary Policy in a Keynesian Macro Model," Working Paper Series 120, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    22. 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.
    23. Chunrong Ai & Xiaohong Chen, 2003. "Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions," Econometrica, Econometric Society, vol. 71(6), pages 1795-1843, November.
    24. Komlan, Fiodendji, 2013. "The asymmetric reaction of monetary policy to inflation and the output gap: Evidence from Canada," Economic Modelling, Elsevier, vol. 30(C), pages 911-923.
    25. Alex Cukierman & V. Anton Muscatelli, 2002. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability? - Theory and Evidence," CESifo Working Paper Series 764, CESifo.
    26. 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.
    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. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    2. Ftiti, Zied & Aguir, Abdelkader & Smida, Mounir, 2017. "Time-inconsistency and expansionary business cycle theories: What does matter for the central bank independence–inflation relationship?," Economic Modelling, Elsevier, vol. 67(C), pages 215-227.
    3. 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.
    4. Akosah, Nana & Alagidede, Imhotep & Schaling, Eric, 2019. "Unfolding the monetary policy rule in Ghana: quantile-based evidence within time-frequency framework," MPRA Paper 103260, University Library of Munich, Germany, revised 01 Oct 2020.
    5. Edilean Kleber da Silva Bejarano Aragón, 2021. "Specification errors, nonlinearities, and structural breaks in the Central Bank of Brazil’s reaction function," Empirical Economics, Springer, vol. 60(3), pages 1221-1243, March.
    6. Wei, Xiaoyun & Li, Jie & Han, Liyan, 2020. "Optimal targeted reduction in reserve requirement ratio in China," Economic Modelling, Elsevier, vol. 85(C), pages 1-15.

    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. 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.
    2. 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.
    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. Edilean Kleber da Silva Bejarano Aragón, 2021. "Specification errors, nonlinearities, and structural breaks in the Central Bank of Brazil’s reaction function," Empirical Economics, Springer, vol. 60(3), pages 1221-1243, March.
    6. Hayat, Aziz & Mishra, Sagarika, 2010. "Federal reserve monetary policy and the non-linearity of the Taylor rule," Economic Modelling, Elsevier, vol. 27(5), pages 1292-1301, September.
    7. Wieland, Volker & Wolters, Maik, 2013. "Forecasting and Policy Making," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325, Elsevier.
    8. Costas Milas & Ruthira Naraidoo, 2009. "Financial Market Conditions, Real Time, Nonlinearity and European Central Bank Monetary Policy: In-Sample and Out-of-Sample Assessment," Working Papers 200923, University of Pretoria, Department of Economics.
    9. 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.
    10. Paolo Surico, 2004. "Inflation Targeting and Nonlinear Policy Rules: The Case of Asymmetric Preferences (new title: The Fed's monetary policy rule and U.S. inflation: The case of asymmetric preferences)," CESifo Working Paper Series 1280, CESifo.
    11. Ikeda, Taro, 2010. "Time-varying asymmetries in central bank preferences: The case of the ECB," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 1054-1066, December.
    12. 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].
    13. 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.
    14. Nidhal Mgadmi & Slim Chaouachi & Wajdi Moussa & Azza Bejaoui, 2021. "Does the Tunisian Central Bank follow an augmented nonlinear Taylor rule?," SN Business & Economics, Springer, vol. 1(1), pages 1-15, January.
    15. Esther Barros-Campello & Carlos Pateiro-Rodríguez & J. Venancio Salcines-Cristal & Carlos Pateiro-López, 2017. "El esquema de objetivos de inflación: Evidencia para América Latina (1999-2015)," Estudios de Economia, University of Chile, Department of Economics, vol. 44(2 Year 20), pages 223-250, December.
    16. 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.
    17. Akosah, Nana Kwame & Alagidede, Imhotep Paul & Schaling, Eric, 2020. "Testing for asymmetry in monetary policy rule for small-open developing economies: Multiscale Bayesian quantile evidence from Ghana," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
    18. 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.
    19. Helle Bunzel & Walter Enders, 2010. "The Taylor Rule and "Opportunistic" Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(5), pages 931-949, August.
    20. Vítor Castro, 2008. "Are Central Banks following a linear or nonlinear (augmented) Taylor rule?," NIPE Working Papers 19/2008, NIPE - Universidade do Minho.

    More about this item

    Keywords

    Monetary policy; Central bank's preference; Asymmetric preferences; Sieve estimators;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    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:pra:mprapa:72746. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.