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Microeconometrics Using Stata, Second Edition, Volume II: Nonlinear Models and Casual Inference Methods

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Microeconometrics Using Stata, Second Edition, Volume II is a comprehensive guide to advanced microeconometric methods, focusing on nonlinear models and causal inference. It builds on the classic techniques covered in the first volume and introduces new material including duration models, randomized control trials, endogenous treatment effects, finite mixture and structural equation models, spatial autoregressive models, semiparametric regression, lasso methods, and Bayesian analysis. The book demonstrates modern implementations using Stata, with detailed explanations, simulations, and coding guidance for researchers and students.
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Format: Paperback / softback
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This book is ideal for researchers, graduate students, and practitioners in economics or related fields who are interested in applied microeconometrics, especially those seeking to apply advanced nonlinear and causal inference methods using Stata.

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Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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 panel-data estimation to nonlinear models such as probit, tobit, Poisson, and choice models. Each of these discussions has been updated to show the most modern implementation in Stata, and many include additional explanation of the underlying methods. In addition, the authors introduce readers to performing simulations in Stata and then use simulations to illustrate methods in other parts of the book. They even teach you how to code your own estimators in Stata.

The second edition is greatly expandedβ€”the new material is so extensive that the text now comprises two volumes. In addition to the classics, the book now teaches recently developed econometric methods and the methods newly added to Stata. Specifically, the book includes entirely new chapters on:

  • duration models
  • randomized control trials and exogenous treatment effects
  • endogenous treatment effects
  • models for endogeneity and heterogeneity, including finite mixture models, structural equation models, and nonlinear mixed-effects models
  • spatial autoregressive models
  • semiparametric regression
  • lasso for prediction and inference
  • Bayesian analysis

Anyone interested in learning classic and modern econometric methods will find this the perfect companion. And those who apply these methods to their own data will return to this reference over and over as they need to implement the various techniques described in this book.

Book Details

INFORMATION

ISBN: 9781597183628

Publisher: Stata Press

Format: Paperback / softback

Date Published: 28 July 2022

Country: United States

Imprint: Stata Press

Edition: 2nd edition

Audience: Tertiary education

DIMENSIONS

Width: 189.0mm

Height: 246.0mm

Weight: 1737g

Pages: 858

About the Author

Colin Cameron is a professor of economics at the University of California–Davis, where he teaches econometrics at undergraduate and graduate levels, as well as an undergraduate course in health economics. He has given short courses in Europe, Australia, Asia, and South America. His research interests are in microeconometrics, especially in robust inference for regression with clustered errors. He is currently an associate editor of the Stata Journal.

Pravin K. Trivedi is a Distinguished Professor Emeritus at Indiana University–Bloomington and an honorary professor in the School of Economics at the University of Queensland. During his academic career, he has taught undergraduate- and graduate-level econometrics in the United States, England, Europe, and Australia. His research interests include microeconometrics and health economics. He served as coeditor of the Econometrics Journal from 2000–2007 and associate editor of the Journal of Applied Econometrics from 1986–2015. He has coauthored (with David Zimmer) Copula Modeling in Econometrics: An Introduction for Practitioners (2007).

Cameron and Trivedi’s joint work includes research articles on econometric models and tests for count data, the Econometric Society monograph Regression Analysis of Count Data, and the graduate-level text Microeconometrics: Methods and Applications.

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