Introductory econometrics : a modern approach /
| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Boston :
Cengage Learning,
[2016]
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| Edition: | Sixth edition. |
| Subjects: |
Table of Contents:
- The nature of econometrics and economic date
- Regression analysis with cross-sectional data. The simple regression model ; Multiple regression analysis : estimation ; Multiple regre4ssion analysis : inference ; Multiple regression analysis : OLS asymptotics ; Multiple regression : further issues ; Multiple regression analysis with qualitative information : binary (or dummy) variables ; Heteroskedasticity ; More on specification and data issues
- Regression analysis with time series data. Basic regression analysis with time series data ; Further issues in using OLS with time series data ; Serial correlation and heteroskedasticity in time series regressions
- Advances topics. Pooling cross sections across time : simple panel data methods ; Advanced panel data methods ; Instrumental variables estimation and two stage least squares ; Simultaneous equations models ; Limited dependent variable models and sample selection corrections ; Advanced time series topics ; 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
- Appendix G. Statistical tables.