Essentials of Econometrics
Fifth Edition
- Damodar N. Gujarati - West Point, New York, USA
March 2023 | 632 pages | SAGE Publications, Inc
This updated Fifth Edition of Damodar N. Gujarati's classic text provides a user-friendly overview of the basics of econometric theory from ordinal logistic regression to time series. Acclaimed for its accessibility, brevity, and logical organization, the book helps beginning students understand econometric techniques through extensive examples (many new to this edition), careful explanations, and a wide array of chapter-ending questions and problems. Major developments in the field are covered in an intuitive and informative way without resorting to matrix algebra, calculus, or statistics beyond the introductory level.
A companion website for the book at https://edge.sagepub.com/gujarati5e includes resources for both instructors and students. Further details are on the Resources tab above.
A companion website for the book at https://edge.sagepub.com/gujarati5e includes resources for both instructors and students. Further details are on the Resources tab above.
Acknowledgments
Preface
About the Author
Chapter 1. The Nature and Scope of Econometrics
PART I. THE LINEAR REGRESSION MODEL
Chapter 2. Basic Ideas of Linear Regression: The Two-Variable Model
Chapter 3. The Two-Variable Model: Hypothesis Testing
Chapter 4. Multiple Regression: Estimation and Hypothesis Testing
Chapter 5. Functional Forms of Regression Models
Chapter 6. Qualitative or Dummy Variable Regression Models
PART II. REGRESSION ANALYSIS IN PRACTICE
Chapter 7. Model Selection: Criteria and Tests
Chapter 8. Multicollinearity: What Happens if Explanatory Variables Are Correlated?
Chapter 9. Heteroscedasticity: What Happens if the Error Variance Is Nonconstant?
Chapter 10. Autocorrelation: What Happens If Error Terms Are Correlated?
PART III. ADVANCED TOPICS IN ECONOMETRICS
Chapter 11. Elements of Time-Series Econometrics
Chapter 12. Panel Data Regression Models
INTRODUCTION TO APPENDIXES A, B, C, AND D: BASICS OF PROBABILITY AND STATISTICS
Appendix A: Review of Statistics: Probability and Probability Distributions
Appendix B: Characteristics of Probability Distributions
Appendix C: Some Important Probability Distributions
Appendix D: Statistical Inference: Estimation and Hypothesis Testing
Appendix E: Statistical Tables
Index
Supplements
Instructor Resource Site
For additional information, custom options, or to request a personalized walkthrough of these resources, please contact your sales representative.
You can still access all of the same online resources for this title via the password-protected Instructor Resource Site at http://edge.sagepub.com/gujarati5e.
For additional information, custom options, or to request a personalized walkthrough of these resources, please contact your sales representative.
LMS cartridge included with this title for use in Blackboard, Canvas, Brightspace by Desire2Learn (D2L), and Moodle
The LMS cartridge makes it easy to import this title’s instructor resources into your learning management system (LMS). These resources include:
- Answers to the end-of-chapter problems
- Editable chapter-specific PowerPoint® slides
- Tables and figures from the book to insert into PowerPoint® slides as desired
- Excel data files of the tables from the book
You can still access all of the same online resources for this title via the password-protected Instructor Resource Site at http://edge.sagepub.com/gujarati5e.
Student Study Site
Excel data files of the tables from the book are available for students on the open-access student site at http://edge.sagepub.com/gujarati5e.
Excel data files of the tables from the book are available for students on the open-access student site at http://edge.sagepub.com/gujarati5e.
The book is one of the traditional texts in econometrics which must be read by all researchers in economics.
Department of Banking, Ankara Haci Bayram Veli University
April 28, 2023
Sample Materials & Chapters
Chapter 1. The Nature and Scope of Econometrics
Chapter 2. Basic Ideas of Linear Regression