This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Teaching undergraduate econometrics with GRETL

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Ryan J. Smith (Department of Economics, Berry College, Mount Berry, Georgia, USA)
J. Wilson Mixon Jr (Department of Economics, Berry College, Mount Berry, Georgia, USA)

Additional information is available for the following registered author(s):

Abstract

This paper reviews GRETL, a software package for econometrics. Mainly it discusses GRETL's merits as an aid in teaching undergraduate econometrics. This discussion is in two parts. First one author, an instructor, reviews the teaching of undergraduate econometrics with GRETL. Then the second author, a student, discusses the experience of being introduced to GRETL as part of the introductory course and of putting it to work as part of his employment. The paper briefly discusses GRETL as a research tool. Copyright © 2006 John Wiley & Sons, Ltd.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://hdl.handle.net/10.1002/jae.927
File Format: text/html
File Function: Link to full text; subscription required
Download Restriction: no
File URL: http://qed.econ.queensu.ca:80/jae/2006-v21.7/
File Format: text/html
File Function: Supporting data files and programs
Download Restriction: no

Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 21 (2006)
Issue (Month): 7 ()
Pages: 1103-1107
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:jae:japmet:v:21:y:2006:i:7:p:1103-1107

Contact details of provider:
Web page: http://www.interscience.wiley.com/jpages/0883-7252/

Order Information:
Email:
Web: http://www3.interscience.wiley.com/jcatalog/subscribe.jsp?issn=0883-7252

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Other versions of this item:

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.:
  1. Giovanni Baiocchi & Walter Distaso, 2003. "GRETL: Econometric software for the GNU generation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 105-110. [Downloadable!]
  2. Jeff Racine & Rob Hyndman, 2002. "Using R to teach econometrics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 175-189. [Downloadable!]
    Other versions:
Full references

Cited by:
(explanations, 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.)

  1. A. Talha Yalta & Riccardo Lucchetti, 2008. "The GNU|Linux platform and freedom respecting software for economists," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 279-286. [Downloadable!]
  2. A. Talha Yalta & A. Yasemin Yalta, 2007. "GRETL 1.6.0 and its numerical accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 849-854. [Downloadable!]
Statistics
Access and download statistics

Did you know? About five million pdf files are downloaded through RePEc every year.

This page was last updated on 2009-7-3.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.