A practical guide to using econometrics
Enregistré dans:
Auteur principal: | |
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Autres auteurs: | |
Support: | Livre |
Langue: | Anglais |
Publié: |
Harlow, England [etc.] :
Pearson Education Limited,
copyright 2017.
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Édition: | 7th edition. Global edition. |
Collection: | Pearson series in economics
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Sujets: | |
Autres localisations: | Voir dans le Sudoc |
Résumé: | A clear, practical introduction to econometrics. Using econometrics: a practical guide offers students an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format. The seventh edition is appropriate for all levels: beginner econometric students, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout. |
Table des matières:
- P. 19
- Chapter 1. An overview of regression analysis
- P. 53
- Chapter 2. Ordinary least squares
- P. 83
- Chapter 3. Learning to use regression analysis
- P. 110
- Chapter 4. The classical model
- P. 133
- Chapter 5. Hypothesis testing and statistical inference
- P. 175
- Chapter 6. Specification: choosing the independent variables
- P. 207
- Chapter 7. Specification: choosing a functional form
- P. 239
- Chapter 8. Multicollinearity
- P. 291
- Chapter 9. Serial correlation
- P. 324
- Chapter 10. Heteroskedasticity
- P. 358
- Chapter 11. Running your own regression project
- P. 382
- Chapter 12. Time-series models
- P. 408
- Chapter 13. Dummy dependent variable techniques
- P. 429
- Chapter 14. Simultaneous equations
- P. 461
- Chapter 15. Forecasting
- P. 483
- Chapter 16. Experimental and panel data
- P. 509
- Appendix A. Answers
- P. 535
- Appendix B. Statistical tables
- P. 549
- Index