Get Free Shipping on orders over $79
Applied Econometrics with R : Use R - Achim Zeileis

Applied Econometrics with R

By: Achim Zeileis, Christian Kleiber

Paperback | 1 November 2008

At a Glance

Paperback


$139.00

or 4 interest-free payments of $34.75 with

 or 

Ships in 5 to 7 business days

R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.
Industry Reviews

Researchers in quantitative social sciences in general, and econometrics in particular, have often favored scripting languages such as GAUSS or Stat, or packages such as EViews. Introducing R to this particular audience could therefore be a well-appreciated title among the growing number of publications about R.... So, is this a good introduction of R for econometricians? Absolutely- with a well-rounded selection of available methodologies, both classic and current, and a good focus on introducing graphical methods, as well as gently covering more novel and therefore less familiar approaches, it fulfills its task with aplomb. The writing style is conversational without being shallow. (Dirk Eddelbuettel, Journal of Statistical Software, February 2009, Vol. 29, Book Review 14)

More in Economic Statistics

The Art of Statistics : Learning from Data - David Spiegelhalter

RRP $26.99

$22.99

15%
OFF
Naked Statistics : Stripping the Dread from the Data - Charles Wheelan
Principles of Human Physiology, Global Edition : 6th edition - Cindy Stanfield
Applied Statistics in Business and Economics ISE : 8th Edition - David Doane
Introduction to Econometrics : 5th edition - Christopher Dougherty

RRP $140.95

$116.75

17%
OFF
Quantitative Methods for Business (Custom Edition) : 3rd Edition - Mark Berenson
Business Statistics : 4th Global Edition - Norean Sharpe

RRP $154.30

$117.75

24%
OFF
Basic Business Statistics + PHStat for Statistics : 5th Edition - Mark Berenson

RRP $159.95

$126.75

21%
OFF
Basic Business Statistics : 5th Edition - Mark Berenson

RRP $167.95

$126.75

25%
OFF
Accounting : 9th Edition - Tracie Miller-Nobles

RRP $206.95

$159.75

23%
OFF
Sampling : 3rd Edition - Design and Analysis - Sharon L. Lohr

RRP $154.00

$113.75

26%
OFF
Microeconomics : 3rd Global Edition - Daron Acemoglu

RRP $146.95

$107.75

27%
OFF
Business Analytics : 5th Cengage International Edition - Jeffrey D. Camm
Operations and Supply Chain Management : 3rd Edition - David Collier

RRP $182.95

$132.99

27%
OFF
Transportation : 10th Edition - A Global Supply Chain Perspective - Robert Novack
Data Analysis for Business, Economics, and Policy - Gábor Békés