Using R to Teach Econometrics

Jeffrey Racine and Rob Hyndman

No 10/01, Monash Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics

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. 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.

Keywords: Econometrics; Statistical software; Teaching (search for similar items in EconPapers)
JEL-codes: A23 C87 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2001-11
New Economics Papers: this item is included in nep-ecm and nep-ets
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Citations: View citations in EconPapers (3)

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Journal Article: Using R to teach econometrics (2002)
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