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.
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Find related papers by JEL classification: A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Koenker, Roger W & Bassett, Gilbert, Jr, 1978.
"Regression Quantiles,"
Econometrica,
Econometric Society, vol. 46(1), pages 33-50, January.
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