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Do Latin American Central Bankers Behave Non-Linearly?: The Experiences of Brazil, Chile, Colombia and Mexico

  • Luiz de Mello
  • Diego Moccero
  • Matteo Mogliani

This papers estimates unrestricted monetary reaction functions for four Latin American countries (Brazil, Chile, Colombia and Mexico) and tests for the presence of non-linear effects in central bank behaviour. The analysis covers the post-1999 inflation-targeting period. We deal with the presence of unit roots in the data by estimating the policy rules in a co-integration setting. We test for linear and non-linear co-integration among the variables of interest. The results suggest that a non-linear specification is not rejected by the data for Brazil, Colombia and Mexico, but it is for Chile. Estimation of smooth-transition models by NLLS and EN-NLLS suggests that the central bank’s response to the inflation gap (i.e. deviations of expected inflation from the target) is invariant across policy regimes in Colombia. It becomes stronger in Mexico as expected inflation deviates from the target. Policy responses appear to weaken in Brazil as the inflation gap widens, a finding that most probably reflects a history of adverse supply shocks and upward adjustments in targets in the early years of inflation targeting. Non-linearity is also found in the central bank’s response to the exchange rate in Brazil and Colombia. Les banques centrales d'Amérique latine se comportent-elles d'une manière non-linéaire? : Les expériences du Brésil, du Chili, de la Colombie et du Mexique Ce document estime des fonctions de réaction monétaires non-contraintes pour quatre pays d’Amérique latine (Brésil, Chili, Colombie et Mexique) et teste l’existence d’effets non-linéaires dans le comportement des banques centrales. L’analyse couvre la période post-1999 où la politique monétaire se caractérise par le ciblage d’inflation. Nous traitons la question de la présence de racines unitaires dans les données en estimant les règles de politique monétaire dans un cadre de cointégration. Nous testons l’existence d’une cointégration linéaire et non-linéaire de nos variables d’intérêt. Les résultats suggèrent que la spécification non-linéaire ne peut être rejetée pour les données brésiliennes, colombiennes et mexicaines ; elle l’est en revanche dans le cas du Chili. L’estimation de modèles de transition douce par des NLLS et EN-NLLS suggère que la réponse de la banque centrale à la différence entre l’inflation espérée et la cible d’inflation ne change pas selon le régime de politique monétaire au Chili. Elle se durcit au Mexique lorsque l’inflation espérée s’éloigne de la cible. Les réponses semblent s'assouplir au Brésil lorsque la différence entre l’inflation espérée et la cible d’inflation s’accroît ; ce résultat est certainement dû à des chocs d’offre négatifs et à des ajustements à la hausse des cibles dans les premières années de politique monétaire à cible d’inflation. Nous trouvons aussi un effet non-linéaire de la réponse de la Banque centrale au taux de change au Brésil et en Colombie.

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File URL: http://dx.doi.org/10.1787/226284172842
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Paper provided by OECD Publishing in its series OECD Economics Department Working Papers with number 679.

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Date of creation: 06 Mar 2009
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Handle: RePEc:oec:ecoaaa:679-en
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  1. D H Kim & D R Osborn & M Sensier, 2002. "Nonlinearity in the Fed's Monetary Policy Rule," The School of Economics Discussion Paper Series 0205, Economics, The University of Manchester.
  2. Laurence Ball, 1998. "Policy Rules for Open Economies," NBER Working Papers 6760, National Bureau of Economic Research, Inc.
  3. Shin, Yongcheol, 1994. "A Residual-Based Test of the Null of Cointegration Against the Alternative of No Cointegration," Econometric Theory, Cambridge University Press, vol. 10(01), pages 91-115, March.
  4. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-43, January.
  5. Chang, Yoosoon & Park, Joon Y., 2003. "Index models with integrated time series," Journal of Econometrics, Elsevier, vol. 114(1), pages 73-106, May.
  6. Donald W.K. Andrews, 1988. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Cowles Foundation Discussion Papers 877R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1989.
  7. Yoosoon Chang & Joon Y. Park & Peter C.B. Phillips, 1999. "Nonlinear Econometric Models with Cointegrated and Deterministically Trending Regressors," Cowles Foundation Discussion Papers 1245, Cowles Foundation for Research in Economics, Yale University.
  8. Virginie Boinet & Christopher Martin, 2008. "Targets, zones, and asymmetries: a flexible nonlinear model of recent UK monetary policy," Oxford Economic Papers, Oxford University Press, vol. 60(3), pages 423-439, July.
  9. Park, Joon Y & Phillips, Peter C B, 2001. "Nonlinear Regressions with Integrated Time Series," Econometrica, Econometric Society, vol. 69(1), pages 117-61, January.
  10. André Minella & Paulo Springer de Freitas & Ilan Goldfajn & Marcelo Kfoury Muinhos, 2003. "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," Working Papers Series 77, Central Bank of Brazil, Research Department.
  11. 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.
  12. Klaus Schmidt-Hebbel & Alejandro Werner, 2002. "Inflation Targeting in Brazil, Chile, and Mexico: Performance, Credibility, and the Exchange Rate," Working Papers Central Bank of Chile 171, Central Bank of Chile.
  13. Frederic S. Mishkin & Niklas J. Westelius, 2006. "Inflation Band Targeting and Optimal Inflation Contracts," NBER Working Papers 12384, National Bureau of Economic Research, Inc.
  14. Tachibana, Minoru, 2008. "Inflation zone targeting and the Federal Reserve," Journal of the Japanese and International Economies, Elsevier, vol. 22(1), pages 68-84, March.
  15. In Choi & Pentti Saikkonen, 2004. "Testing linearity in cointegrating smooth transition regressions," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 341-365, December.
  16. Vittorio Corbo, 2000. "Monetary Policy in Latin America in the 90s," Working Papers Central Bank of Chile 78, Central Bank of Chile.
  17. Saikkonen, Pentti & Choi, In, 2004. "Cointegrating Smooth Transition Regressions," Econometric Theory, Cambridge University Press, vol. 20(02), pages 301-340, April.
  18. Lars E.O. Svensson, 1995. "Optimal Inflation Targets, `Conservative' Central Banks, and Linear Inflation Contracts," NBER Working Papers 5251, National Bureau of Economic Research, Inc.
  19. Orphanides, Athanasios & Wieland, Volker, 1999. "Inflation zone targeting," Working Paper Series 0008, European Central Bank.
  20. Romano, Joseph P & Wolf, Michael, 2001. "Subsampling Intervals in Autoregressive Models with Linear Time Trend," Econometrica, Econometric Society, vol. 69(5), pages 1283-1314, September.
  21. Hassler, Uwe & Wolters, Jürgen, 2005. "Autoregressive distributed lag models and cointegration," Discussion Papers 2005/22, Free University Berlin, School of Business & Economics.
  22. Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
  23. Alvaroriascos & Luis Fernando Melo Velandia, 2004. "Sobre Los Efectos Dela Politica Monetaria Encolombia," ENSAYOS SOBRE POLÍTICA ECONÓMICA, BANCO DE LA REPÚBLICA - ESPE.
  24. W.A. Bruinshoofd & B. Candelon, 2004. "Nonlinear monetary policy in europe: fact or myth?," WO Research Memoranda (discontinued) 758, Netherlands Central Bank, Research Department.
  25. Peter C.B. Phillips & Steven N. Durlauf, 1985. "Multiple Time Series Regression with Integrated Processes," Cowles Foundation Discussion Papers 768, Cowles Foundation for Research in Economics, Yale University.
  26. Peter C.B. Phillips, 1988. "Optimal Inference in Cointegrated Systems," Cowles Foundation Discussion Papers 866R, Cowles Foundation for Research in Economics, Yale University, revised Aug 1989.
  27. Granger, Clive W J, 1995. "Modelling Nonlinear Relationships between Extended-Memory Variables," Econometrica, Econometric Society, vol. 63(2), pages 265-79, March.
  28. MINELLA André & DE FREITAS Paulo Springer & GOLDFAJN Ilan & KFOURY MUINHOS Marcelo, . "Inflation Targeting in Brazil: Constructing Credibility under Exchange Rate Volatility," EcoMod2003 330700103, EcoMod.
  29. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
  30. Dimitris K. Christopoulos & Miguel A. Leãn-Ledesma, 2007. "A Long-Run Non-Linear Approach to the Fisher Effect," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 543-559, 03.
  31. Breitung, Jorg, 2001. "Rank Tests for Nonlinear Cointegration," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(3), pages 331-40, July.
  32. Tachibana, Minoru, 2006. "Did the Bank of Japan have a target zone for the inflation rate?," Economics Letters, Elsevier, vol. 92(1), pages 131-136, July.
  33. Peter C.B. Phillips & Joon Y. Park, 1986. "Statistical Inference in Regressions with Integrated Processes: Part 2," Cowles Foundation Discussion Papers 819R, Cowles Foundation for Research in Economics, Yale University, revised Feb 1987.
  34. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
  35. 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.
  36. de Mello, Luiz & Moccero, Diego, 2011. "Monetary policy and macroeconomic stability in Latin America: The cases of Brazil, Chile, Colombia and Mexico," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 229-245, February.
  37. Qin, Ting & Enders, Walter, 2008. "In-sample and out-of-sample properties of linear and nonlinear Taylor rules," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 428-443, March.
  38. Granger, Clive W. J. & Terasvirta, Timo, 1993. "Modelling Non-Linear Economic Relationships," OUP Catalogue, Oxford University Press, number 9780198773207, March.
  39. Phillips, Peter C B & Hansen, Bruce E, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Wiley Blackwell, vol. 57(1), pages 99-125, January.
  40. Norman Loayza & Klaus Schmidt-Hebbel, 2002. "Monetary Policy Functions and Transmission Mechanisms: An Overview," Central Banking, Analysis, and Economic Policies Book Series, in: Norman Loayza & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Series (ed.), Monetary Policy: Rules and Transmission Mechanisms, edition 1, volume 4, chapter 1, pages 001-020 Central Bank of Chile.
  41. Neil R. Ericsson & James G. MacKinnon, 2002. "Distributions of error correction tests for cointegration," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 285-318, 06.
  42. Choi, In & Saikkonen, Pentti, 2010. "Tests For Nonlinear Cointegration," Econometric Theory, Cambridge University Press, vol. 26(03), pages 682-709, June.
  43. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
  44. Lee, Tae-Hwy & White, Halbert & Granger, Clive W. J., 1993. "Testing for neglected nonlinearity in time series models : A comparison of neural network methods and alternative tests," Journal of Econometrics, Elsevier, vol. 56(3), pages 269-290, April.
  45. 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.
  46. Christopher J. Erceg, 2002. "The Choice of an Inflation Target Range in a Small Open Economy," American Economic Review, American Economic Association, vol. 92(2), pages 85-89, May.
  47. 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, 07.
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