SPECTRAN, a set of Matlab programs for Spectral analysis
Spectral analysis is one of the most important areas of time series econometrics. The use of spectral measures is widespread in different science fields such as economics, physics, engineering, geology. The SPECTRAN toolbox has been developed to facilitate the application of spectral concepts to univariate as well as to multivariate series. It offers a variety of frequency-domain techniques and supports the statistical inference. It also provides convenient tools for the examination of the results, e.g.functions for writing the output to a file or functions specially designed for plotting the estimated spectral measures. The key feature of SPECTRAN is the user-friendliness embodied in, e.g., the central function spectran which performs the whole analysis with default settings, but also gives the user the possibility to adjust them. This document sets out the most relevant spectral concepts and their implementation in SPECTRAN. Finally, three examples shall illustrate the application of different toolbox function to macroeconomic data.
|Date of creation:||2012|
|Contact details of provider:|| Postal: D-70593 Stuttgart|
Web page: http://www.fzid.uni-hohenheim.de/
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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Martyna Marczak & Thomas Beissinger, 2013.
"Real wages and the business cycle in Germany,"
Springer, vol. 44(2), pages 469-490, April.
- Marczak, Martyna & Beissinger, Thomas, 2010. "Real wages and the business cycle in Germany," FZID Discussion Papers 20-2010, University of Hohenheim, Center for Research on Innovation and Services (FZID).
- Marczak, Martyna & Beissinger, Thomas, 2010. "Real Wages and the Business Cycle in Germany," IZA Discussion Papers 5199, Institute for the Study of Labor (IZA).
- Berens, Philipp, 2009. "CircStat: A MATLAB Toolbox for Circular Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 31(i10). Full references (including those not matched with items on IDEAS)