Econometric Analysis of Cross Section and Panel Data
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Econometric Analysis of Cross Section and Panel Data

By Jeffrey M Wooldridge

A comprehensive state-of-the-art text on microeconometric methods.

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Summary

A comprehensive state-of-the-art text on microeconometric methods.

This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association. The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.

Hardcover

Out of Print ISBN: 9780262232197 776 pp. | 9 in x 8 in

Endorsements

  • Wooldridge's new book should be extremely useful for graduate students in econometrics and also in applied fields. It gives a state-of-the-art discussion of econometric methods used to analyze data in a wide variety of situations.

    Jerry Hausman

    McDonald Professor of Economics, MIT

  • This book will be a great resource for researchers and graduate students interested in applied and theoretical microeconometrics. The topics covered in this book belong in the toolbox of modern applied and theoretical microeconometricians, and many of them have not previously been covered in easily accessible textbook format.

    Bo Honore

    Department of Economics, Princeton University