Wiley, 2012. — 592 p. — 4th ed. — ISBN: 9781118032084 This book is a supplement to Principles of Econometrics, 4th Edition by R. Carter Hill, William E. Griffiths and Guay C. Lim (Wiley, 2011), hereinafter POE4. This book is not a substitute for the textbook, nor is it a stand alone computer manual. It is a companion to the textbook, showing how to perform the examples in the...
Packt Publishing, 2015. — 279 p. — ISBN: 9781782173175 STATA is an integrated software package that provides you with everything you need for data analysis, data management, and graphics. STATA also provides you with a platform to efficiently perform simulation, regression analysis (linear and multiple) [and custom programming. This book covers data management, graphs...
Boston College – 2011, 157 p. Stata is a full-featured statistical programming language for Windows, Mac OS X, Unix and Linux. It can be considered a stat package, like SAS, SPSS, RATS, or eViews. Stata is available in several versions: Stata/IC (the standard version), Stata/SE (an extended version) and Stata/MP (for multiprocessing). The major difference between the versions...
Chapman & Hall/CRC – 2010, 462 p. ISBN: 1420080660 Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available software procedures while...
4th ed. — Chapman and Hall/CRC, 2006. — 345 p. — ISBN: 1584887567 With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version9. This...
Stata Press – 2005, 73 p. Regression analysis is the statistical method most often used in social research. The reason is that most social researchers are interested in identifying causal effects from non-experimental data. Regression is the method for doing this.
CRC Press – 2004, 304 p. ISBN: 1584884045, 9781584884040 The powerful statistical software Stata has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. But because of its power and plethora of features, particularly in version 8, Stata manuals are usually quite extensive and detailed. The third edition of the Handbook...
Sage, 2012. — 239 p. — ISBN: 9781412997119 Using Stata for Quantitative Analysis offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, the...
Stata Press, 2009. — 157 p. — ISBN: 1597180548, 9781597180542 Multiple imputation, GMM, Font in Graphics, PDF Documentation, Variable Manager, Data editor, Do File Editor, Mata, Factor Variables, Marginal analysis, Competing Risks Regression, State - space Models, Dynamic-Factor models, Multivariate GARCH Models, Panel- Data Uni-Roots test, Stata/MP and more.
Brooks/Cole, 2004. - 424 p. Stata is a powerful data analysis software. This handbook was designed to bridge the gap between textbooks and Stata's own documentation. In this intermediary role, STATISTICS WITH STATA uses easy to follow tutorials to demonstrate how to use Stata to accomplish some of the most common statistical tasks. While Stata's user documentation is over 4,000...
Cambridge: Cambridge University Press, 2015. — 566 p. Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in...
Open University Press, 2009. — 388 p. — ISBN: 0335523885, 033522387, 9780335223886, 9780335223879 This book aims to be a resource for those starting out using Stata for the first time. Thus it is neither an undergraduate nor a graduate level book. This is because we appreciate that at what stage introductions to data analysis and statistical software occur varies considerably...
Stata, 2009. — 545 p. — ISBN: 1597180637, 9781597180634 The Time-Series Reference Manual organizes the commands alphabetically, making it easy to find individual command entries if you know the name of the command. This overview organizes and presents the commands conceptually, that is, according to the similarities in the functions that they perform. The commands listed under...
1st ed. — Stata Press, 2009. — 362 p. — 1597180459, 9781597180450. Scan. 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...
Psychology Press, 2007. — 312 p. — ISBN: 0805860479, 9780805860474 Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the social sciences and the...
SAGE, 2015. — 641 p. — ISBN: 9781483319759. The first book to provide a unified framework for both single-level and multilevel modeling of ordinal categorical data, Applied Ordinal Logistic Regression Using Stata by Xing Liu helps readers learn how to conduct analyses, interpret the results from Stata output, and present those results in scholarly writing. Using step-by-step...
SAGE, 2020. — 393 p. The book provides a step-by-step introduction for statistics, data analysis, or research methods classes using Stata software. Concise descriptions emphasize the concepts behind statistics rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an...
Cambridge: Cambridge University Press, 2016. — 1429 p. Engaging and accessible to students from a wide variety of mathematical backgrounds, Statistics Using Stata combines the teaching of statistical concepts with the acquisition of the popular Stata software package. It closely aligns Stata commands with numerous examples based on real data, enabling students to develop a deep...
New York: Stata Press, 2009. — 382 p. 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...
ISTE Press, 2016. — 124 p. — ISBN: 1785481428, 9781785481420 This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of Stata for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are...
Stata Press, 2007. — 489 p. — ISBN: 1597180289 Multiple imputation, GMM, Font in Graphics, PDF Documentation, Variable Manager, Data editor, Do File Editor, Mata, Factor Variables, Marginal analysis, Competing Risks Regression, State - space Models, Dynamic-Factor models, Multivariate GARCH Models, Panel- Data Uni-Roots test, Stata/MP and more.
Stata Press, 2007. — 626 p. — ISBN: 1597180343, 9781597180344 This entry describes this manual and what has changed since Stata 9. See the next entry, [G] graph intro, for an introduction to Stata’s graphics capabilities.
CRC Press, 2024. — 173 p. — ISBN: 978-1-032-77565-4. This book is an introductory guide to programming and coding in Stata. Commonly encountered codes in the field of medical statistics as well as the analysis of observational data are presented. For those who are involved in the analysis of observational studies, the need to sometimes assemble large datasets will necessitate a...
2nd edition. — Stata Press, 2021. — 711 p. — ISBN: 9781597183185. This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety...
Revised Sixth Edition — A Stata Press Publication, 2023. — 566 p. — ISBN-13: 978-1597183673. Alan C. Acock’s A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata. Acock assumes that the...
2nd edition. — Stata Press, 2022. — 1359 p. — ISBN: 978-1-59718-363-5. Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions, this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to...
2nd edition. — Stata Press, 2022. — 1333 p. — ISBN: 978-1-59718-364-2. Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods. Like previous editions, this text covers all the classic microeconometric techniques ranging from linear models to instrumental-variables regression to...
Fourth Edition. — Stata Press, 2022. — 1047 p. This book is a complete resource for learning to model data in which observations are grouped-whether nested data such as children nested in schools or repeated observations on the same individuals. Rabe-Hesketh and Skrondal introduce a variety of multilevel models for the continuous, binary, count, and other outcomes. They also...
Routledge, 2022. — 209 p. — ISBN 978- 0- 3677- 1032- 3. This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using Stata. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of Stata code and recommends evidence-based best practice procedures. This is an eminently...
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