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Using wavelets to measure core inflation: the case in New Zealand

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Abstract

This paper uses wavelets to develop a core inflation measure for inflation targeting central banks. The analysis is applied to the case of New Zealand – the country with the longest history of explicit inflation targeting. We compare the performance of our proposed measure against some popular alternatives. Our measure does well at identifying a reliable medium-term trend in inflation. It also has comparable forecasting performance to standard benchmarks.

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  • David Baqaee, 2009. "Using wavelets to measure core inflation: the case in New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2009/05, Reserve Bank of New Zealand.
  • Handle: RePEc:nzb:nzbdps:2009/05
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    1. Alexandra Heath & Ivan Roberts & Tim Bulman, 2004. "Inflation in Australia: Measurement and Modelling," RBA Annual Conference Volume (Discontinued), in: Christopher Kent & Simon Guttmann (ed.),The Future of Inflation Targeting, Reserve Bank of Australia.
    2. Jamie Armour, 2006. "An Evaluation of Core Inflation Measures," Staff Working Papers 06-10, Bank of Canada.
    3. Michael F. Bryan & Stephen G. Cecchetti & Rodney L. Wiggins, 1997. "Efficient inflation estimation," Working Papers (Old Series) 9707, Federal Reserve Bank of Cleveland.
    4. Christoph Schleicher, 2002. "An Introduction to Wavelets for Economists," Staff Working Papers 02-3, Bank of Canada.
    5. Dowd, Kevin & Cotter, John & Loh, Lixia, 2011. "U.S. Core Inflation: A Wavelet Analysis," Macroeconomic Dynamics, Cambridge University Press, vol. 15(4), pages 513-536, September.
    6. Scott Roger, 1998. "Core inflation: concepts, uses and measurement," Reserve Bank of New Zealand Discussion Paper Series G98/9, Reserve Bank of New Zealand.
    7. Mark A. Wynne, 2008. "Core inflation: a review of some conceptual issues," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 205-228.
    8. Stephen G. Cecchetti, 1997. "Measuring short-run inflation for central bankers," Review, Federal Reserve Bank of St. Louis, issue May, pages 143-155.
    9. Marques, Carlos Robalo & Neves, Pedro Duarte & da Silva, Afonso Goncalves, 2002. "Why should Central Banks avoid the use of the underlying inflation indicator?," Economics Letters, Elsevier, vol. 75(1), pages 17-23, March.
    10. Mick Silver, 2007. "Core Inflation: Measurement and Statistical Issues in Choosing Among Alternative Measures," IMF Staff Papers, Palgrave Macmillan, vol. 54(1), pages 163-190, May.
    11. Cogley, Timothy, 2002. "A Simple Adaptive Measure of Core Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 94-113, February.
    12. Domenico Giannone & Troy D. Matheson, 2007. "A New Core Inflation Indicator for New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 145-180, December.
    13. Ramsey, J.B., 2002. "Wavelets in Economics and Finance: Past and Future," Working Papers 02-02, C.V. Starr Center for Applied Economics, New York University.
    14. Robert W. Rich & Charles Steindel, 2005. "A review of core inflation and an evaluation of its measures," Staff Reports 236, Federal Reserve Bank of New York.
    15. Ramsey James B., 2002. "Wavelets in Economics and Finance: Past and Future," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-29, November.
    16. Thérèse Laflèche, 1997. "Statistical measures of the trend rate of inflation," Bank of Canada Review, Bank of Canada, vol. 1997(Autumn), pages 29-47.
    17. Stuart Barber & Guy P. Nason, 2004. "Real nonparametric regression using complex wavelets," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(4), pages 927-939, November.
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    Cited by:

    1. Hai Vo, Long & Hong Vo, Duc, 2020. "Long-run dynamics of exchange rates: A multi-frequency investigation," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Lahura, Erick & Vega, Marco, 2011. "Wavelet-based Core Inflation Measures: Evidence from Peru," Working Papers 2011-019, Banco Central de Reserva del Perú.
    3. Long Hai Vo & Duc Hong Vo, 2020. "Modelling Australian Dollar Volatility at Multiple Horizons with High-Frequency Data," Risks, MDPI, Open Access Journal, vol. 8(3), pages 1-16, August.
    4. Armas, Adrián & Vallejos , Lucy & Vega, Marco, 2011. "Indicadores tendenciales de inflación y su relevancia como variables indicativas de política monetaria," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 20, pages 27-56.
    5. Stan Plessis & Gideon Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 527-548, December.
    6. Erick Lahura & Marco Vega, 2011. "Evaluation of Wavelet-based Core Inflation Measures: Evidence from Peru," Documentos de Trabajo / Working Papers 2011-320, Departamento de Economía - Pontificia Universidad Católica del Perú.
    7. Josué Fernando Cortés Espada & Daniel Samano & Rubí Gutiérrez Villanueva, 2019. "Dynamics of Mexican Inflation: A Wavelet Analysis," Working Papers 2019-17, Banco de México.
    8. Stan du Plessis, Gideon du Rand & Kevin Kotzé, 2015. "Measuring Core Inflation in South Africa," Working Papers 503, Economic Research Southern Africa.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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