GAUSS PROGRAMMING FOR ECONOMETRICIANS AND FINANCIAL ANALYSTS
Khuan-Pin Lin
Additional contact information
Khuan-Pin Lin: Portland State University
No 259, Computing in Economics and Finance 2000 from Society for Computational Economics
Abstract:
This paper reports the experience of using a GAUSS econometric package, GAUSS Programming for Econometricians and Financial Analysts (GPE), on the Internet/WWW for teaching and learning econometrics. GPE is a continuation of earlier LSQ project to include analysis moduls beyond linear least squares such as time series analysis, nonlinear optimization, and system modeling. GPE is a complete econometric package written in GAUSS that runs in the GAUSS programming environment. Moreover, with the implementation of CGI (Common Gateway Interface) scripts, the Internet/WWW version of GPE has extended the learning and practicing econometric techniques beyond the boundaries of the classroom. Lessons from the GPE package are now available on the Web, providing an interactive distance learning environment for an otherwise exclusive and specialized skill. Many users around the world learn about the GPE project and test drive the learning environment through the Internet/WWW connection.
Date: 2000-07-05
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf0:259
Access Statistics for this paper
More papers in Computing in Economics and Finance 2000 from Society for Computational Economics CEF 2000, Departament d'Economia i Empresa, Universitat Pompeu Fabra, Ramon Trias Fargas, 25,27, 08005, Barcelona, Spain. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().