This work focuses on three types of Stata programming: do-file programming, ado-file programming, and Mata functions that work in conjunction with do- and ado-files. It explains how to usefully automate work with Stata and how to use Stata more effectively through programming on one or more of these levels. After presenting elementary concepts of the command-line interface and commonly used tools for working with programs and data sets, the text follows a unique format by offering "cookbook" chapters after each main chapter. These cookbook chapters look at how to perform a specific programming task with Stata and provide a complete solution to the problem. The text also includes numerous examples of Mata, Stata’s matrix programming language.
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About the Author
Christopher F. Baum is an economist at Boston College, where he co-directs the undergraduate minor in scientific computation.
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3 of 23 people found the following review helpful:
3.0 out of 5 stars
Un bon compagnon de ce logiciel,
By Xtophe (Balma, France) - See all my reviews
This review is from: An Introduction to Stata Programming (Paperback)
Malheureusement pour les Anglophiles, ce livre est en Anglais mais pour les anglophones il permet une bonne introduction à la programmation sous Stasta. Sorti après son petit frère "Stata par la pratique" (chez Statpress également),il reprend en détail les éléments de base de la programmation : fonctions, maros, listes, scalaires ainsi que les boucles et structures pour les programmes (.do) et les procédures (.ado). L'auteur est un habitué du Stata Journal et possède parfaitement ce logiciel couteau suisse de l'économétrie moderne.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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rclass version, rolling prefix, qui generate, kww age mrt, rns smsa, certification script, reorganizing datasets, grunfeld dataset, use airquality, marksample touse, egen functions, tenn quarter, sysuse auto, extended macro functions, syntax varlist, exp qualifier, matrix rownames, rowwise functions, statsby prefix, matrix colnames, mfx compute, postestimation commands, return list scalars, end mata, range qualifiers Key Phrases - Capitalized Phrases (CAPs): (learn more)
Min Max, Variable Obs Mean Std, Automobile Data, Statistical Software Components, Ben Jann, New Hampshire, Percent Cum, Adj R-squared, Monte Carlo, Rhode Island, Stata Journal, New Jersey, None Mild Moderate Severe, Ankara Lat, New York, Capital of United States, Capital of Turkey, Application Support, Social Security, Amine Ouazad, One of Stata, Nicholas Cox, Boston College, Stata Technical Bulletin, Roy Wada Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
rclass version, rolling prefix, qui generate, kww age mrt, rns smsa, certification script, reorganizing datasets, grunfeld dataset, use airquality, marksample touse, egen functions, tenn quarter, sysuse auto, extended macro functions, syntax varlist, exp qualifier, matrix rownames, rowwise functions, statsby prefix, matrix colnames, mfx compute, postestimation commands, return list scalars, end mata, range qualifiers Key Phrases - Capitalized Phrases (CAPs): (learn more)
Min Max, Variable Obs Mean Std, Automobile Data, Statistical Software Components, Ben Jann, New Hampshire, Percent Cum, Adj R-squared, Monte Carlo, Rhode Island, Stata Journal, New Jersey, None Mild Moderate Severe, Ankara Lat, New York, Capital of United States, Capital of Turkey, Application Support, Social Security, Amine Ouazad, One of Stata, Nicholas Cox, Boston College, Stata Technical Bulletin, Roy Wada Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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