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An Introduction to Stata Programming

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christopher F Baum (Boston College)

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

Abstract

Christopher Baum's An Introduction to Stata Programming is worthwhile for anyone wanting to learn about programming in Stata. For the beginner, Baum assumes only that the user is familiar with Stata, and so he builds up accordingly. For the more advanced Stata programmer, the book introduces Stata’s Mata programming language and provides optimization tips for day-to-day work. All readers will find better, new ways to approach old tasks. The breadth and depth of this book make it a necessity for anyone interested in programming in Stata.

Download Info
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File URL: http://stata-press.com/books/isp-preface.pdf
File Format: application/pdf
File Function: downloadable preface
Download Restriction: no
File URL: http://www.bc.edu/bc_org/avp/ulib/pubhighlight/stataprogramming/index.html
File Format: text/html
File Function: link to interview of author
Download Restriction: no
File URL: http://www.stata-press.com/data/itsp.html
File Format: text/html
File Function: link to downloadable datasets
Download Restriction: no

Publisher Info
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
This book is provided by StataCorp LP in its series Stata Press books with number isp and published in 2009.

ISBN: 1-59718-045-9
Order: http://stata-press.com/books/isp.html
Handle: RePEc:tsj:spbook:isp

Contact details of provider:
Web page: http://www.stata-press.com/

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

Related research
Keywords: programming; statistical analysis; data management; graphics;

Find related papers by JEL classification:
C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General

Statistics
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This page was last updated on 2009-10-31.

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.