Buss, Ginters (2011): Asymmetric Baxter-King filter.
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Abstract
The paper proposes an extension of the symmetric Baxter-King band pass filter to an asymmetric Baxter-King filter. The optimal correction scheme of the ideal filter weights is the same as in the symmetric version, i.e, cut the ideal filter at the appropriate length and add a constant to all filter weights to ensure zero weight on zero frequency. Since the symmetric Baxter-King filter is unable to extract the desired signal at the very ends of the series, the extension to an asymmetric filter is useful whenever the real time estimation is needed. The paper uses Monte Carlo simulation to compare the proposed filter's properties in extracting business cycle frequencies to the ones of the original Baxter-King filter and Christiano-Fitzgerald filter. Simulation results show that the asymmetric Baxter-King filter is superior to the asymmetric default specification of Christiano-Fitzgerald filter in real time signal extraction exercises.
Item Type: | MPRA Paper |
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Original Title: | Asymmetric Baxter-King filter |
Language: | English |
Keywords: | real time estimation; Christiano-Fitzgerald filter; Monte Carlo simulation; band pass filter |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General |
Item ID: | 28176 |
Depositing User: | Ginters Buss |
Date Deposited: | 19 Jan 2011 06:12 |
Last Modified: | 27 Sep 2019 14:14 |
References: | Baxter, M. and R. G. King (1999), ``Measuring business cycles: approximate band-pass filters for economic time series'', The Review of Economics and Statistics, MIT Press, vol. 81(4), 575-593 Box, G., G. M. Jenkins, and G. Reinsel (1994), Time Series Analysis: Forecasting and Control, 3rd Edition, Prentice Hall Campbell, J. Y. and P. Perron (1991), ``Pitfalls and opportunities: what macroeconomists should know about unit roots'', NBER Technical Working Papers 0100, National Bureau of Economic Research, Inc. Christiano, L. J. and T. J. Fitzgerald (2003), ``The band pass filter'', International Economic Review, vol. 44(2), 435-465 Guay, A. and P. St-Amant (2005), ``Do the Hodrick-Prescott and Baxter-King filters provide a good approximation of business cycles?'', Annales d'Economie et de Statistique, issue 77 Priestley, M. B. (1981), Spectral Analysis and Time Series, Academic Press, Inc. Watson, M. W. (1986), ``Univariate detrending methods with stochastic trends'', Journal of Monetary Economy, Elsevier, vol. 18, 49-75 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/28176 |