Introductory Econometrics : A Modern Approach (4th, International Student Edition, Paperback)

1. The Nature of Econometrics and Economic Data
PART 1: 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 2: 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 3: 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