Table of Contents

1. The Nature of Econometrics and Economic Data.
Part I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA.
2. The Simple Regression Model.
3. Multiple Regression Analysis: Estimation.
4. Multiple Regression Analysis: Inference.
5. Multiple Regression Analysis: OLS Asymptotics.
6. Multiple Regression Analysis: Further Issues.
7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables.
8. Heteroskedasticity.
9. More on Specification and Data Problems.
Part II: REGRESSION ANALYSIS WITH TIME SERIES DATA.
10. Basic Regression Analysis with Time Series Data.
11. Further Issues in Using OLS with Time Series Data.
12. Serial Correlation and Heteroskedasticity in Time Series Regressions.
Part III: ADVANCED TOPICS.
13. Pooling Cross Sections across Time: Simple Panel Data Methods.
14. Advanced Panel Data Methods.
15. Instrumental Variables Estimation and Two Stage Least Squares.
16. Simultaneous Equations Models.
17. Limited Dependent Variable Models and Sample Selection Corrections.
18. Advanced Time Series Topics.
19. Carrying out an Empirical Project.
APPENDICES.
Appendix A: Basic Mathematical Tools.
Appendix B: Fundamentals of Probability.
Appendix C: Fundamentals of Mathematical Statistics.
Appendix D: Summary of Matrix Algebra.
Appendix E: The Linear Regression Model in Matrix Form.
Appendix F: Answers to Chapter Questions.
Appendix G: Statistical Tables.
References.
Glossary.
Index.

About the Author

Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, he was an assistant professor of economics at the Massachusetts Institute of Technology. He received his bachelor of arts, with majors in computer science and economics, from the University of California, Berkeley, in 1982, and received his doctorate in economics in 1986 from the University of California, San Diego. He has published more than 60 articles in internationally recognized journals, as well as several book chapters. He is also the author of Econometric Analysis of Cross Section and Panel Data, second edition. His awards include an Alfred P. Sloan Research Fellowship, the Plura Scripsit award from Econometric Theory, the Sir Richard Stone prize from the Journal of Applied Econometrics, and three graduate teacher-of-the-year awards from MIT. He is a fellow of the Econometric Society and of the Journal of Econometrics. He is past editor of the Journal of Business and Economic Statistics, and past econometrics coeditor of Economics Letters. He has served on the editorial boards of Econometric Theory, the Journal of Economic Literature, the Journal of Econometrics, the Review of Economics and Statistics, and the Stata Journal. He has also acted as an occasional econometrics consultant for Arthur Andersen, Charles River Associates, the Washington State Institute for Public Policy, Stratus Consulting, and Industrial Economics, Incorporated.

Reviews

"Hands down, the data analysis examples in the text and the practice problems are what I like most about the text. They are fantastic, and many of our Economics students list Econometrics as their favorite course because these problems allow them to apply economic reasoning to actual data."

"It is the best book on applied econometrics on the market. Well written and "modern" in the sense that he devotes coverage to topics and techniques relevant to the current state of practice in econometrics."