Introductory Econometrics / Infoapps 2-Semester / Premium Web Site Wooldridge, Jeffrey

Wooldridge, Jeffrey

ISBN 10: 1111530580 / ISBN 13: 9781111530587

Published by South-Western Pub, 2011

About this Item

Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.

Seller Inventory # 111153104813122-CR02366963

Bibliographic Details

• Title: Introductory Econometrics / Infoapps 2-Semester / Premium Web Site Wooldridge, Jeffrey
• Publisher: South-Western Pub
• Publication Date: 2011
• Language: English
• ISBN 10: 1111530580
• ISBN 13: 9781111530587
• Binding: Hardcover
• Edition: 5th or later Edition
• Condition: Good

About this title

Synopsis

Discover how empirical researchers today actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS, 5E, International Edition. Unlike traditional texts, this book's unique presentation demonstrates how econometrics has moved beyond just a set of abstract tools to become a genuinely useful tool for answering questions in business, policy evaluation, and forecasting environments. INTRODUCTORY ECONOMETRICS, 5E, International Edition is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This approach makes the book's material easier to understand and, ultimately, leads to better econometric practices. Packed with timely, relevant applications, the text emphasizes incorporates close to 100 intriguing data sets, now available in six formats. Updates throughout this edition introduce the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in real practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS, 5E, International Edition.

Review

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.