Applied Econometrics with R (Use R!) Kindle Edition

4.0 out of 5 stars 4 customer reviews

ISBN-13: 978-0387773162
ISBN-10: 0387773169
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Product Details

  • File Size: 2446 KB
  • Print Length: 232 pages
  • Page Numbers Source ISBN: 0387773169
  • Publisher: Springer; 1 edition (August 28, 2008)
  • Publication Date: August 28, 2008
  • Language: English
  • ASIN: B001O0DEXA
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Lending: Not Enabled
  • Enhanced Typesetting: Not Enabled
  • Amazon Best Sellers Rank: #1,359,207 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Customer Reviews

Top Customer Reviews

Format: Paperback
Applied Econometrics with R (AER) is by far the best introductory course on econometrics, not only in R, but in general. Although this book is best used in conjunction with one of the standard tomes in econometrics (Greene's Econometric Analysis or Woolridge's Introductory Econometrics), a reader familiar with basic OLS regression will be able to understand such complex topics like panel-regressions or probit-models after reading this book. In fact, many of the examples and end of chapter exercises are taken from standard textbooks on econometrics. Therefore, this book is a must for students of econometrics who use Greene as their class textbook for theory. In most instances, AER provides direct references to Greene. However, so many other factors make AER one of the best R books out there.

+ All the data required to work the samples and exercises is contained either in the AER R-package, which was specifically designed for the book, or other standard R packages. There is no need, like with so many other books an R, to download files from the web or set them up manually.

+ Presentation of content is superb! The text in the book is extremely well written and easy to understand for beginners. The code in R works 100% (even today, 7 years after the book was published) and is placed perfectly in the text. Every line of code used to generate plots or outputs is actually in the book, which is probably due to the fact that the authors used R itself to compile the book (using Sweave()), thus showing not only rigor but also the immense capabilities of R as text-formatting tool.

+ End of chapter exercises are set up perfectly.
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Format: Paperback
I teach econometrics in a graduate school. Fair book but falls short of explaining some of the day-to-day needs of econometrics: how are standard errors clustered? two-way clustered? How do we estimate a flexible likelihood model? A GMM model? It may be a limitation of R itself rather than the book -- but don't expect the book to help you move from Stata to R. This should be "basic econometrics with R".
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Format: Paperback
Good book for R and easy read. Not meant to teach statistics or econometrics. Mostly easy to find what you're looking for but I am not Economics or Statistics major. One should know what they are looking for when using this book as a reference for R.
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Format: Paperback Verified Purchase
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