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<p/><br></br><p><b> About the Book </b></p></br></br><p>In this second edition of <b>An Introduction to Stata Programming</b>, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as cookbook recipes. This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimization routines. </p><p/><br></br><p><b> Book Synopsis </b></p></br></br><p>In this second edition of <b>An Introduction to Stata Programming</b>, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as cookbook recipes. This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata's Mata programming language and optimization routines. </p><p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>"... Baum's <i>An Introduction to Stata Programming (2nd Edition) </i>combines a concise introduction into the Stata programming environment<i> </i>with a large number of applications to workflow, data management and estimation. .... <i>An Introduction to Stata Programming (2nd Edition) </i>is a well-organized book. We find it suitable for any Stata user on an intermediate or advanced level, a user which already has some experience with Stata and who wants go deeper into programming or who wants to extend Stata's built-in commands for estimation and data management. In particular the large number of practical examples, mostly taken from economics and finance, help the reader a lot."<br>--Oliver Kirchkamp and Hiltrud Niggemann in <i>Journal of Statistical Software</i>, April 2017</p><br>

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