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Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach

Author

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  • Gabriela Bezerra Medeiros

    (Universidade Federal da Paraíba (UFPB))

  • Marcelo Savino Portugal

    (Universidade Federal do Rio Grande do Sul (UFRGS))

  • Edilean Kleber da Silva Bejarano Aragón

    (Universidade Federal da Paraíba (UFPB))

Abstract

In this work, we seek to investigate nonlinearities in the reaction function of the Central Bank of Brazil (CBB) by estimating quantile regressions. As the monetary policy rule has endogenous regressors, we use the method of inverse quantile regression, proposed by Chernozhukov and Hansen (Econometrica 73:245–261, 2005). In general, we noted that the linear reaction function properly describes the conduct of monetary policy in normal periods. However, we found that quantile regression estimates allow identifying nonlinearities in the CBB’s policy in periods with large shocks to the inflation rate, output, and exchange rate, as occurred in the exchange rate crisis in 2003 and in the economic crisis in 2008.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:empeco:v:53:y:2017:i:4:d:10.1007_s00181-016-1195-0
    DOI: 10.1007/s00181-016-1195-0
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    as
    1. Carrion-i-Silvestre, Josep Lluís & Kim, Dukpa & Perron, Pierre, 2009. "Gls-Based Unit Root Tests With Multiple Structural Breaks Under Both The Null And The Alternative Hypotheses," Econometric Theory, Cambridge University Press, vol. 25(6), pages 1754-1792, December.
    2. Adam, Klaus & Billi, Roberto M., 2006. "Optimal Monetary Policy under Commitment with a Zero Bound on Nominal Interest Rates," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(7), pages 1877-1905, October.
    3. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    4. Kato, Ryo & Nishiyama, Shin-Ichi, 2005. "Optimal monetary policy when interest rates are bounded at zero," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 97-133, January.
    5. 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.
    6. Thanaset Chevapatrakul & Tae‐Hwan Kim & Paul Mizen, 2009. "The Taylor Principle and Monetary Policy Approaching a Zero Bound on Nominal Rates: Quantile Regression Results for the United States and Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1705-1723, December.
    7. Aizenman, Joshua & Hutchison, Michael & Noy, Ilan, 2011. "Inflation Targeting and Real Exchange Rates in Emerging Markets," World Development, Elsevier, vol. 39(5), pages 712-724, May.
    8. 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.
    9. Edilean Silva Bejarano Aragón & Gabriela Medeiros, 2015. "Monetary policy in Brazil: evidence of a reaction function with time-varying parameters and endogenous regressors," Empirical Economics, Springer, vol. 48(2), pages 557-575, March.
    10. Luiz De Mello & Diego Moccero, 2009. "Monetary Policy and Inflation Expectations in Latin America: Long-Run Effects and Volatility Spillovers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(8), pages 1671-1690, December.
    11. 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.
    12. 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.
    13. Lubik, Thomas A. & Schorfheide, Frank, 2007. "Do central banks respond to exchange rate movements? A structural investigation," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1069-1087, May.
    14. Minella, Andre & de Freitas, Paulo Springer & Goldfajn, Ilan & Muinhos, Marcelo Kfoury, 2003. "Inflation targeting in Brazil: constructing credibility under exchange rate volatility," Journal of International Money and Finance, Elsevier, vol. 22(7), pages 1015-1040, December.
    15. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    16. Hausmann, Ricardo & Panizza, Ugo & Stein, Ernesto, 2001. "Why do countries float the way they float?," Journal of Development Economics, Elsevier, vol. 66(2), pages 387-414, December.
    17. Tae-Hwan Kim & Christophe Muller, 2004. "Two-stage quantile regression when the first stage is based on quantile regression," Econometrics Journal, Royal Economic Society, vol. 7(1), pages 218-231, June.
    18. 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.
    19. Furlani, Luiz Gustavo Cassilatti & Portugal, Marcelo Savino & Laurini, Márcio Poletti, 2010. "Exchange rate movements and monetary policy in Brazil: Econometric and simulation evidence," Economic Modelling, Elsevier, vol. 27(1), pages 284-295, January.
    20. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(2), pages 379-408.
    21. Pierre Perron & Serena Ng, 1996. "Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(3), pages 435-463.
    22. Palma, Andreza Aparecida & Portugal, Marcelo Savino, 2014. "Preferences of the Central Bank of Brazil under the inflation targeting regime: Estimation using a DSGE model for a small open economy," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 824-839.
    23. Aghion, Philippe & Bacchetta, Philippe & Rancière, Romain & Rogoff, Kenneth, 2009. "Exchange rate volatility and productivity growth: The role of financial development," Journal of Monetary Economics, Elsevier, vol. 56(4), pages 494-513, May.
    24. Wolters, Maik H., 2012. "Estimating monetary policy reaction functions using quantile regressions," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 342-361.
    25. 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.
    26. Edilean Kleber da Silva Bejarano Aragón & Gabriela Bezerra de Medeiros, 2013. "Testing asymmetries in Central Bank preferences in a small open economy: A study for Brazil," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 14(2), pages 61-76.
    27. Minella, André & Souza-Sobrinho, Nelson F., 2013. "Monetary policy channels in Brazil through the lens of a semi-structural model," Economic Modelling, Elsevier, vol. 30(C), pages 405-419.
    28. Powell, James L, 1983. "The Asymptotic Normality of Two-Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 51(5), pages 1569-1575, September.
    29. Ghosh, Atish R. & Ostry, Jonathan D. & Chamon, Marcos, 2016. "Two targets, two instruments: Monetary and exchange rate policies in emerging market economies," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 172-196.
    30. Moura, Marcelo L. & de Carvalho, Alexandre, 2010. "What can Taylor rules say about monetary policy in Latin America?," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 392-404, March.
    31. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    32. 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.
    33. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    34. Cukierman Alex & Muscatelli Anton, 2008. "Nonlinear Taylor Rules and Asymmetric Preferences in Central Banking: Evidence from the United Kingdom and the United States," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-31, February.
    35. 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.
    36. Sánchez-Fung, José R., 2011. "Estimating monetary policy reaction functions for emerging market economies: The case of Brazil," Economic Modelling, Elsevier, vol. 28(4), pages 1730-1738, July.
    37. Rudebusch, Glenn D., 1995. "Federal Reserve interest rate targeting, rational expectations, and the term structure," Journal of Monetary Economics, Elsevier, vol. 35(2), pages 245-274, April.
    38. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    39. 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.
    40. Amemiya, Takeshi, 1982. "Two Stage Least Absolute Deviations Estimators," Econometrica, Econometric Society, vol. 50(3), pages 689-711, May.
    41. Goodfriend, Marvin, 1991. "Interest rates and the conduct of monetary policy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 34(1), pages 7-30, January.
    42. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, October.
    43. Bank for International Settlements, 2008. "Transmission mechanisms for monetary policy in emerging market economies," BIS Papers, Bank for International Settlements, number 35.
    44. Tillmann, Peter, 2011. "Parameter Uncertainty And Nonlinear Monetary Policy Rules," Macroeconomic Dynamics, Cambridge University Press, vol. 15(2), pages 184-200, April.
    45. M. S. Mohanty & Marc Klau, 2005. "Monetary Policy Rules in Emerging Market Economies: Issues and Evidence," Springer Books, in: Rolf J. Langhammer & Lúcio Vinhas Souza (ed.), Monetary Policy and Macroeconomic Stabilization in Latin America, pages 205-245, Springer.
    46. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    47. 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.
    48. Perron, Pierre & Yabu, Tomoyoshi, 2009. "Testing for Shifts in Trend With an Integrated or Stationary Noise Component," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(3), pages 369-396.
    49. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    50. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    51. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    52. Ghosh, Atish R. & Ostry, Jonathan D. & Chamon, Marcos, 2016. "Two targets, two instruments: Monetary and exchange rate policies in emerging market economies," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 172-196.
    53. 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.
    54. Thanaset Chevapatrakul & Juan Paez-Farrell, 2014. "Monetary Policy Reaction Functions in Small Open Economies: a Quantile Regression Approach," Manchester School, University of Manchester, vol. 82(2), pages 237-256, March.
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