### Season. Mathematica Packages for Seasonal Adjustment

Ekkehart Schlicht
This Zip-Archive provides Mathematica packages and documentation for the seasonal adjustment method proposed by Schlicht and Pauly (1983) and Schlicht (1984) covering Mathematica versions 5 to 11. The method makes use of non-parametric splines. 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 HP-Filter), the seasonal filter proposed by Schlicht and Pauly (1983) and the...

### VC - A Program for Estimating Time-Varying Coefficients

Ekkehart Schlicht
VC implements Schlicht's method for estimating a linear regression with time-varying coefficients. The variances are estimated by a moments estimator that performs better than the corresponding likelihood estimator in small samples and coincides with the likelihood estimator in large samples. Instead of the usual parametrization by initial values, an orthogonal parametrization is used, and instead of the one-sided Kalman filter, a statistically superior two-sided filter is implemented. The program runs under Windows.

### Season. A Mathematica Package for Seasonal Adjustment

Ekkehart Schlicht
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...

### VCC - A Program for Estimating Time-Varying Coefficients. Console Version With Source Code in C

Ekkehart Schlicht
VCC implements Schlicht's method for estimating a linear regression with time-varying coefficients. The variances are estimated by a moments estimator or a related maximum likelihood estimator. Instead of the usual parametrization by initial values, an orthogonal parametrization is used, and instead of the one-sided Kalman filter, a statistically superior two-sided filter is implemented. This is the console version of the VC program. It includes binaries for Windows and Linux and the source code in C.

### Mend-A Mathematica package for mending time series with missing observations and structural breaks

Ekkehart Schlicht
The package implements a method for mending time series with missing observations and structural breaks. The method is described in Ekkehart Schlicht: "Trend Extraction from Time Series with Structural Breaks and Missing Observations", Journal of the Japan Statistical Society Vol. 38 (2008), No. 2, pages 285-292, freely available at http://www.jstage.jst.go.jp/article/jjss/38/2/285/_pdf.

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