Buss, Ginters (2010): Seasonal decomposition with a modified Hodrick-Prescott filter.
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Abstract
I describe preliminary results for seasonal decomposition procedure using a modified Hodrick-Prescott (Leser) filter. The procedure is simpler to implement compared to two currently most popular seasonal decomposition procedures - X-11 filters developed by the U.S. Census Bureau and SEATS developed by the Bank of Spain. A case study for Latvia's quarterly gross domestic product shows the procedure is able to extract a stable seasonal component, yet allowing for structural changes in seasonality.
Item Type: | MPRA Paper |
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Original Title: | Seasonal decomposition with a modified Hodrick-Prescott filter |
Language: | English |
Keywords: | seasonal decomposition, Hodrick-Prescott filter, quarterly GDP |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: 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 |
Item ID: | 24133 |
Depositing User: | Ginters Buss |
Date Deposited: | 29 Jul 2010 00:53 |
Last Modified: | 27 Sep 2019 20:44 |
References: | [1] Bell, W. R. and B. C. Monsell (1992), "X-11 symmetric linear filters and their transfer functions", Research Report Series RR-92/15, Bureau of the Census [2] Dubois, E. and E. Michaux (2010), "Grocer 1.41: an econometric toolbox for Scilab", available at http://dubois.ensae.net/grocer.html [3] Hodrick, R. J. and E. C. Prescott (1983), "Post-war U.S. business cycles: an empirical investigation", Discussion Paper 451, Northwestern University [4] Kaiser, R. and A. Maravall (2000), "Notes on time series analysis, ARIMA models and signal extraction", Banco de Espana Working Papers 0012, Banco de Espana. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/24133 |