SPECTRAN, a set of Matlab programs for Spectral analysis

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: FZID Discussion Paper ; No. 60-2012

Classification and Topics

• Classification: Wirtschaft ; Methodological Issues: General ; Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes ; Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models ; Econometric Software
• Subject: univariate spectral analysis ; multivariate spectral analysis ; Matlab ; Zeitreihenanalyse ; PC-Software

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Marczak, Martyna ; Gómez, Víctor
• Event: Veröffentlichung
• (who): Universität Hohenheim, Forschungszentrum Innovation und Dienstleistung (FZID)
• (where): Stuttgart
• (when): 2012

Further information

• Handle: http://hdl.handle.net/10419/67382
• URN: urn:nbn:de:bsz:100-opus-7813
• Last update: 10.03.2025, 11:43 AM CET