EVERYDAY FREE SHIPPING on $25 & up  Excludes Marketplace items
EVERYDAY FREE SHIPPING
on $25 & up
 Excludes Marketplace
Introductory Econometrics - With Access

Introductory Econometrics - With Access - 4th edition

ISBN13: 978-0324581621

Cover of Introductory Econometrics - With Access 4TH 09 (ISBN 978-0324581621)
ISBN13: 978-0324581621
ISBN10: 0324581629
Edition: 4TH 09
Copyright: 2009
Publisher: South-Western Publishing Co.
Published: 2009
International: No

More Shipping Options

Introductory Econometrics - With Access - 4TH 09 edition

ISBN13: 978-0324581621

Jeffrey Wooldridge

ISBN13: 978-0324581621
ISBN10: 0324581629
Edition: 4TH 09
Copyright: 2009
Publisher: South-Western Publishing Co.
Published: 2009
International: No
Summary

Practical and professional, Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e bridges the gap between how undergraduate econometrics has traditionally been taught and how empirical researchers actually think about and apply econometric methods. The text's unique approach reflects the fact that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. The text combines the mechanics of econometrics with modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Unlike traditional texts, INTRODUCTORY ECONOMETRICS's unique organization separates topics by the kinds of data being analyzed, rather than presenting a strictly linear model. Packed with relevant applications and a wealth of interesting data sets, the text emphasizes examples throughout, which gives a concrete reality to economic relationships, as well as allows treatment of intriguing policy questions in a realistic and accessible framework.

Author Bio

Jeffrey M. Wooldridge is a University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, he served as Assistant Professor of Economics at the Massachusetts Institute of Technology. Dr. Wooldridge has published more than three dozen 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. His work has earned numerous awards, including the Alfred P. Sloan Research Fellowship, the Multa 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. A fellow of the Econometric Society and of the Journal of Econometrics, Dr. Wooldridge has been editor of the Journal of Business and Economic Statistics and econometrics co-editor of Economics Letters. He has also served on the editorial boards of the Journal of Econometrics and the Review of Economics and Statistics. Dr. Wooldridge received his B.A. with majors in computer science and economics from the University of California, Berkeley, and received his Ph.D. in economics from the University of California, San Diego.

Table of Contents

1. The Nature of Econometrics and Economic Data.
PART 1: 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 2: 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 3: 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.

  • Marketplace
  • From
More Shipping Options