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Using R to teach econometrics
Jeffrey Scott Racine () and
Rob J Hyndman ()
Journal of Applied Econometrics , 2002, vol. 17, issue 2, pages 175-189
Abstract:
R, an open-source programming environment for data analysis and graphics, has in only a decade grown to become a de-facto standard for statistical analysis against which many popular commercial programs may be measured. The use of R for the teaching of econometric methods is appealing. It provides cutting-edge statistical methods which are, by R's open-source nature, available immediately. The software is stable, available at no cost, and exists for a number of platforms, including various flavours of Unix and Linux, Windows (9x|NT|2000), and the MacOS. Manuals are also available for download at no cost, and there is extensive on-line information for the novice user. This review focuses on using R for teaching econometrics. Since R is an extremely powerful environment, this review should also be of interest to researchers. Copyright © 2002 John Wiley & Sons, Ltd.
Date: 2002
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Journal of Applied Econometrics is edited by M. Hashem Pesaran
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