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cover Christopher F. Baum's An Introduction to Stata Programming, Second Edition, is a great reference for anyone that wants to learn Stata programming. For those learning, Baum 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.
cover Meta-Analysis in Stata: An Updated Collection from the Stata Journal, Second Edition is a complete introduction and reference for performing meta-analyses in Stata. Stata has some of the best statistical tools available for doing meta-analysis. These tools are all created by and documented by experts in the broader research community who also happen to be proficient Stata developers. Editors Tom Palmer and Jonathan Sterne show how each of the articles in this collection relates and fits in the overall literature of meta-analysis.
cover Stata for the Behavioral Sciences, by Michael N. Mitchell, is an easy-to-follow guide to analyzing data using Stata for researchers in the behavioral sciences and a valuable addition to the bookshelf of anyone interested in applying ANOVA methods to a variety of experimental designs.
cover The sixth edition of Jeffrey Wooldridge's textbook, Introductory Econometrics: A Modern Approach, lives up to its subtitle in its choice of topics and its treatment of standard material. Wooldridge recognizes that modern econometrics involves much more than ordinary least squares (OLS) wit h a few extensions to handle the special cases commonly encountered in econometric data. In addition to chapters on OLS, he includes chapters on current techniques of estimation and inference for time-series data, panel data, limited dependent variables, and sample selection.
cover Econometric Evaluation of Socio-Economic Programs, by Giovanni Cerulli, provides an excellent introduction to estimating average treatment effects from observational data. This book provides thorough introductions to the models and estimators implemented in teffects, etregress, and etpoisson and provides many examples using these commands and some similar commands written by the author.

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New series: Maria Gaetana Agnesi, James Durbin, Benjamin Gompertz, Leopold Kronecker, and Siméon-Denis Poisson.

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