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Season. A Mathematica Package for Seasonal Adjustment

Author

Listed:
  • Schlicht, Ekkehart

Programming Language

mathematica

Abstract

The package implements Schlicht's (1984) seasonal adjustment method. It decomposes a time series into a trend, a seasonal component, and an irregular component. The method combines the trend filter proposed by Leser (1961) (also known as the Hodrick-Prescott filter), the seasonal filter proposed by Schlicht and Pauly (1983) and the orthogonal parametrization proposed by Schlicht (1984). In contrast to prevailing methods, it is based on an explicit statistical model (state-space) and estimates the smoothing parameters by a maximum-likelihood method. The package requires Mathematica 5. Available also at http://library.wolfram.com/infocenter/MathSource/6270/

Suggested Citation

  • Schlicht, Ekkehart, 2005. "Season. A Mathematica Package for Seasonal Adjustment," Software in Economics 712, University of Munich, Department of Economics.
    • Handle: RePEc:lmu:muenso:712
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    File URL: https://epub.ub.uni-muenchen.de/712/1/Season.zip
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    Keywords

    mathematica;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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