GAUSS and MATLAB: A Comparison
John Rust ()
Journal of Applied Econometrics, 1993, vol. 8, issue 3, 307-24
Abstract:
I compare two high-level matrix programming languages with built-in function libraries and graphics routines. Their interactive nature and convenient syntax makes them ideal for use in econometric applications. The languages are remarkably similar in terms of their features and performance. MATLAB's chief advantage is that it runs on a wider array of hardware and operating systems than GAUSS. GAUSS's main advantage is that it has better coverage of statistical and econometric routines. Overall, MATLAB's features seem best suited for analyzing time-series data and other macroeconometric applications, while GAUSS is ideal for analyzing panel data and other microeconometric applications. Copyright 1993 by John Wiley & Sons, Ltd.
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://links.jstor.org/sici?sici=0883-7252%2819930 ... 0.CO%3B2-J&origin=bc full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
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:jae:japmet:v:8:y:1993:i:3:p:307-24
Ordering information: This journal article can be ordered from
http://www3.intersci ... e.jsp?issn=0883-7252
Access Statistics for this article
Journal of Applied Econometrics is currently edited by M. Hashem Pesaran
More articles in Journal of Applied Econometrics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley-Blackwell Digital Licensing () and Christopher F. Baum ().