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Monetary Policy Reaction Functions in Small Open Economies: a Quantile Regression Approach

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  • Thanaset Chevapatrakul
  • Juan Paez-Farrell

Abstract

type="main"> We use quantile regressions to model monetary policy reaction functions in three small open economies: Australia, Canada and New Zealand. Focusing on Taylor-type rules, we find evidence of asymmetric interest rate responses for all the countries considered, with monetary policy reacting more strongly to inflation when interest rates are high than when they are low. This is consistent with previous research suggesting that central bankers place more weight on positive deviations of inflation from its target than negative ones. In contrast, the interest rate response to the output gap is largely symmetric and small.

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  • 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.
    • Handle: RePEc:bla:manchs:v:82:y:2014:i:2:p:237-256
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    2. González, María de la O & Jareño, Francisco, 2019. "Testing extensions of Fama & French models: A quantile regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 188-204.
    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. Kerry B. Hudson & Joaquin L. Vespignani, 2014. "Understanding the Deviations of the Taylor Rule: A New Methodology with an Application to Australia," CAMA Working Papers 2014-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. 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.
    6. Hudson, Kerry & Vespignani, Joaquin L., 2015. "Understanding the Taylor Rule in Australia," MPRA Paper 104679, University Library of Munich, Germany.
    7. Ana Escribano & Francisco Jareño & Jose Ángel Cano, 2023. "Study of the leading European construction companies using risk factor models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3386-3402, July.
    8. Karamti, Chiraz, 2019. "Lopsided effects of telecom reforms on mobile markets in the enlarged EU: Evidence from dynamic quantile model," Telecommunications Policy, Elsevier, vol. 43(3), pages 238-261.
    9. Juan Paez-Farrell, 2015. "Taylor rules, central bank preferences and inflation targeting," Working Papers 2015023, The University of Sheffield, Department of Economics.
    10. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    11. 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].
    12. Helena Glebocki Keefe & Hedieh Shadmani, 2020. "Examining the asymmetric monetary policy response to foreign exchange market conditions in emerging and developing economies," International Economics and Economic Policy, Springer, vol. 17(2), pages 503-530, May.

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