Book , Print in English

Introductory econometrics : a modern approach

Jeffrey M. Wooldridge.
  • Boston : Cengage Learning, 2016.
  • Copyright Notice: ©2016
  • Sixth edition.
  • xxi, 789 pages : illustrations ; 24 cm
Subjects
Contents
  • ch. 1. The nature of econometrics and economic data
  • ch. 2. The simple regression model
  • ch.3. Multiple regression analysis : estimation
  • ch. 4. Multiple regression analysis : inference
  • ch. 5. Multiple regression analysis : OLS asymptotics
  • ch. 6. Multiple regression analysis : further issues
  • ch.7. Multiple regression analysis with qualitative information : binary (or dummy) variables
  • ch. 8. Heteroskedasticity
  • ch. 9. More on specification and data issues
  • ch. 10. Basic regression analysis with time series data
  • ch. 11. Further issues in using OLS with time series data
  • ch. 12. Serial correlation and heteroskedasticity in time series regressions
  • ch. 13. Pooling cross sections across time : simple panel data methods
  • ch. 14. Advanced panel data methods
  • ch. 15. Instrumental variables estimation and two stage least squares
  • ch. 16. Simultaneous equations models
  • ch. 17. Limited dependent variable models and sample selection corrections
  • ch. 18. Advanced time series topics
  • ch. 19. Carrying out an empirical project
  • 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.
Other information
  • Includes bibliographical references (pages 750-755) and index.
ISBN
  • 130527010X
  • 9781305270107
Identifying numbers
  • OCLC: 906011217
  • OCLC: 906011217