Introductory econometrics: a modern approach/ Jeffrey M. Wooldridge.
Material type:
TextLanguage: English Publisher: Delhi, India: Cengage, 2016Edition: 7th edDescription: xxii, 826 pages ; illustrations; 25 cmISBN: 9789355731074Subject(s): EconometricsDDC classification: 330.015195 | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Books | Institute of Public Enterprise, Library S Campus | 330.015195 WOO (Browse shelf) | Available | 48313 | |
| Books | Institute of Public Enterprise, Library S Campus | 330.015195 WOO (Browse shelf) | Available | 48160 | |
| Books | Institute of Public Enterprise, Library S Campus | 330.015195 WOO (Browse shelf) | Available | 48161 | |
| Books | Institute of Public Enterprise, Library S Campus | 330.015195 WOO (Browse shelf) | Available | 48162 | |
| Books | Institute of Public Enterprise, Library S Campus | 330.015195 WOO (Browse shelf) | Available | 48163 | |
| Books | Institute of Public Enterprise, Library S Campus | 330.015195 WOO (Browse shelf) | Available | 48164 |
Includes bibliographical references and index.
Preface
About the author
Chapter 1. The nature of econometrics and economic date
Part 1. Regression Analysis with Cross-Sectional Data. Chapter 2. The simple regression model
Chapter 3. Multiple regression analysis : Estimation
Chapter 4. Multiple regression analysis : Inference
Chapter 5. Multiple regression analysis : OLS asymptotics
Chapter 6. Multiple regression analysis : Further issues
Chapter 7. Multiple regression analysis with qualitative information
Chapter 8. Heteroskedasticity
Chapter 9. More on specification and data issues
Part 2. Regression Analysis with Time Series Data. Chapter 10. Basic regression analysis with time series data
Chapter 11. Further issues in using OLS with time series data
Chapter 12. Serial correlation and heteroskedasticity in time series regressions
Part 3. Advanced Topics. Chapter 13. Pooling cross sections across time : Simple panel data methods
Chapter 14. Advanced panel data methods
Chapter 15. Instrumental variables estimation and two-stage least squares
Chapter 16. Simultaneous equations models
Chapter 17. Limited dependent variable models and sample selection corrections
Chapter 18. Advanced time series topics
Chapter 19. Carrying out an empirical project
Appendices. Math Refresher A. Basic mathematical tools
Math Refresher B. Fundamentals of probability
Math Refresher C. Fundamentals of mathematical statistics
Advanced Treatment D. Summary of matrix algebra
Advanced Treatment E. The linear regression model in matrix form
Answers to Going Further questions
Statistical tables
References
Glossary
Index
Wooldridge uses a systematic approach motivated by the major problems facing applied researchers. This text provides important understanding for empirical work in many social sciences, as well as for carrying out research projects.
There are no comments on this title.