Introductory econometrics : a modern approach - Wooldridge, Jeffrey M., 1960- (Mason, OH : South-Western Cengage Learning, 2009)
Ch. 1. The nature of econometrics and economic data -- Pt. 1. Regression analysis with cross-sectional data -- Ch. 2. The simple regression model -- Ch. 3. Mutiple regression analysis: estimation -- Ch. 4. Mutiple regression analysis: inference -- Ch. 5. Mutiple regression analysis: OLS asymptotics -- Ch. 6. Mutiple regression analysis: further issues -- Ch. 7. Mutiple regression analysis with qualitative information: binary (or dummy) variables -- Ch. 8. Hetroskedasticity -- Ch. 9. More on specification and data issues -- Pt. 2. Regression analysis with time series data -- 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. Simulatensous 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 -- Appendices.
Includes bibliographical references (pages 838-843) and index.
Keywords: Econometrics