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Introductory econometrics : A modern approach
Publication details: Singapore Cengage Learning 2016Edition: 6thDescription: 789pISBN:- 9781305270107
- 330.010000 WOO
Contents:
Table of contents
1. The Nature of Econometrics and Economic Data.
Part I: 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 II: 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 III: 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 Exploring Further Chapter Exercises.
Appendix G: Statistical Tables.
References.
Glossary.
Index.
| Item type | Current library | Shelving location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
BOOKs
|
National Law School | MPP Section | 330.01 WOO (Browse shelf(Opens below)) | Available | 34472 |
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| 330.01 KIN The Oxford handbook of philosophy of economics / | 330.01 MOO Econometrics as a con art : | 330.01 THA Nudge : | 330.01 WOO Introductory econometrics : A modern approach | 330.012 STA The corruption of capitalism : Why rentiers thrive and work does not pay | 330.015 ARR-I Handbook of mathematical economics.Vol. I | 330.015 END Applied econometric time series |
Table of contents
1. The Nature of Econometrics and Economic Data.
Part I: 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 II: 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 III: 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 Exploring Further Chapter Exercises.
Appendix G: Statistical Tables.
References.
Glossary.
Index.
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