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cover Econometrics for Dummies is an ideal companion for an introductory course in econometrics. All the computational examples and output in the book use Stata. The book assumes some previous knowledge of statistics and economics but does offer a comprehensive review of the basic concepts needed to understand the concepts in the text.
cover Time Series Analysis for the Social Sciences provides a rigorous yet accessible introduction to time-series analysis. The book emphasizes the interpretation of the results and the intuition behind the techniques rather than technical details. The methodologies presented in the book are accompanied with examples that illustrate the concepts developed using real data.
cover Cheng Hsiao's Analysis of Panel Data, Third Edition is an essential reference on panel-data models. The third edition is a dramatic revision of the 2003 edition and is a must-have reference book for researchers and graduate students.

cover Introduction to Time Series Analysis, by Mark Pickup, is a concise book that provides an intuitive, but deep, discussion of many methods currently used for estimation and inference in time-series modeling. This book is an excellent introduction to time-series analysis for students and researchers who have limited experience in the area.

cover Regression Models for Categorical Dependent Variables Using Stata, Third Edition, by J. Scott Long and Jeremy Freese, is an essential reference for those who use Stata to fit and interpret regression models for categorical data. Although regression models for categorical dependent variables are common, few texts explain how to interpret such models; this text decisively fills the void.

Stata documentation

Every installation of Stata includes all the documentation in PDF format. Stata’s documentation consists of over 11,000 pages detailing each feature in Stata including the methods and formulas and fully worked examples.
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New series: Stella Cunliffe, Grace Murray Hopper, Isobel Loutit, Ada Lovelace, and Margaret E. Martin

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