Frequency domain analysis of core inflation measures for Brazil
DOI:
https://doi.org/10.1590/S0101-41612005000100001Keywords:
core inflation, frequency domain, trimmed estimator, SVARAbstract
This paper analyses the frequency domain properties of two well-known measures of core inflation: the trimmed mean estimator and the SVAR estimator. It also investigates whether a small modification of the trimmed mean estimator enhances its capacity of filtering high‑frequency noise. We find that the two versions of the trimmed estimator are rather similar. They work as imperfect approximations for low pass filters. Therefore, they are capturing very well trend inflation. The SVAR estimator, however, is quite different from both of them. It emphasizes intermediate frequencies rather than low frequencies, indicating that cyclical movements associated with excess demand pressures are very important in the medium run.Downloads
References
BAKHSHI, H.; YATES, T. To trim or not to trim? Bank of England, Working Paper n. 97, 1999.
BRYAN, M. F.; CECCHETTI, S. G. The CPI as a measure of inflation.
Economic Review, Federal Reserve Bank of Cleveland, v. 29, n. 4, p. 15-24, 1993.
BRYAN, M. F.; CECCHETTI, S. G. Measuring core inflation. In: MANKIW, N. G. (ed.), Monetary
policy. The University of Chicago Press, 1994.
BRYAN, M. F.; CECCHETTI, S. G. A note on the efficient estimation of inflation in Brazil. Central
Bank of Brazil, Working Paper 11, 2001.
BRYAN, M. F.; CECCHETTI, S. G.; WIGGINS II, R. L. Efficient inflation estimation. NBER Working Paper n. 6183, 1997.
CECCHETTI, S. G. Measuring short-run inflation for central bankers. Economic Review, Federal Reserve Bank of Saint Louis, p. 143-155, May/June, 1997.
CECCHETTI, S. G.; GROSHEN, E. L. Understanding inflation: implications for monetary policy. NBER Working Paper n. 7482, 2000.
CHRISTIANO, L. J.; FITZGERALD, T. J. The band pass filter. International Economic Review, v. 44, n. 2, p. 435-466, 2003.
DICKEY, D. A.; PANTULA, S. G. Determining the order of differencing in autoregressive processes. Journal of Business and Economic Statistics, v. 5, n. 4, p. 455-461, 1987.
FIGUEIREDO, F. M. R. Evaluating core inflation measures for Brazil. Central Bank of Brazil, Working Paper 14, 2001.
FIORENCIO, A.; MOREIRA, A. O núcleo da inflação como a tendência central dos preços. XXII Meeting of the Brazilian Econometric Society, 2000, p. 875-894.
HAMILTON, J. D. Time series analysis. Princeton University Press, 1994.
MOREIRA, A.; MIGON, H. Core inflation: robust common trend model forecasting. XXIII Meeting of the Brazilian Econometric Society, 2001, p. 875-894.
PICCHETTI, P.; KANCZUK, F. An application of Quah and Vahey’s methodology for estimating core inflation in Brazil. 2001. Mimeografado.
QUAH, D. T.; VAHEY, S. P. Measuring core inflation. The Economic Journal, 105, p. 1130-1144, 1995.
ROGER, S. Core inflation: concepts, uses and measurement. Reserve Bank of New Zealand, Discussion Papers n. 98/9, 1998.
WYNNE, M. A. Core inflation: a review of some conceptual issues. Federal Reserve Bank of Dallas, Working Paper n. 99-03, 1999.
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