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Econometricians seem to be rather slow to adopt new methods and new technology (compared to other areas of statistics), but slowly the use of R is spreading. I’m now receiving requests for references showing how to use R in econometrics, and so I thought it might be helpful to post a few suggestions here.
A useful on-line and free resource is “Econometrics in R” by Grant Farnsworth. It covers some common econometric methods including heteroskedasticity in regression, probit and logit models, tobit regression, and quantile regression. In the time series area, it covers ARIMA, ARFIMA, ARCH and GARCH models, as well as a few of the standard tests for unit roots and autocorrelation. It’s brief but it does provide code that will help people familiar with econometrics to get started using R. | |
If you are prepared to pay, an excellent book is Kleiber and Zeilis’s Applied Econometrics with R |
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Another useful book is Pfaff’s Analysis of Integrated and Cointegrated Time Series with R |
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Vinod’s Hands-On Intermediate Econometrics Using R |
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More detailed case studies using R are provided in Advances in Social Science Research Using R |
There are of course dozens of books on R with a more statistical perspective, including several on time series. But I will leave them for another post.
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