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Part I. Elementary Statistical Analysis: 1. Introduction | |
2. Descriptive statistics | |
3. Correlation | |
4. Simple linear regression | |
Part II. Samples and Inductive Statistics: 5. Standard errors and confidence intervals | |
6. Hypothesis testing | |
7. Non-parametric tests | |
Part III. Multiple Linear Regression: 8. Multiple relationships | |
9. The classical linear regression model | |
10. Dummy variables and lagged values | |
Part IV. Further Topics in Regression Analysis: 11. Violating the assumptions of the classical model | |
12. Non-linear models and functional forms | |
13. Logit, probit, and tobit models | |
Part V. Specifying and Interpreting Models: Four Case Studies: 14. Case studies 1 and 2: unemployment in Britain and emigration from Ireland | |
15. Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850-60 | |
Appendix A. The four data sets | |
Appendix B. Index numbers | |
Index. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.