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

Author

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  • Luiz de Mello

    (OECD)

  • Diego Moccero

    (OECD)

  • Matteo Mogliani

    (Paris School of Economics)

Abstract

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.

Suggested Citation

  • Luiz de Mello & Diego Moccero & Matteo Mogliani, 2009. "Do Latin American Central Bankers Behave Non-Linearly?: The Experiences of Brazil, Chile, Colombia and Mexico," OECD Economics Department Working Papers 679, OECD Publishing.
  • Handle: RePEc:oec:ecoaaa:679-en
    DOI: 10.1787/226284172842
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    7. Caldas Montes, Gabriel & Ferrari Ferreira, Caio, 2019. "Effect of monetary policy credibility on the fear of floating: Evidence from Brazil," Journal of Policy Modeling, Elsevier, vol. 41(5), pages 981-1004.

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    More about this item

    Keywords

    cible d'inflation; co-intégration multiple; fonction de réaction; inflation targeting; modèle de transition douce; non-linear co-integration; reaction function; smooth-transition model;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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