Using econometrics : a practical guide / A.H. Studenmund.
Material type:
TextSeries: Pearson series in economicsPublisher: Boston : Addison-Wesley, [2011]Copyright date: ©2011Edition: Sixth editionDescription: xvii, 616 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 0131367730
- 9780131367739
- 0131379984
- 9780131379985
- 330.015195 22
- HB139 .S795 2011
Contents:
1. An Overview of Regression Analysis -- 2. Ordinary Least Squares -- 3. Learning to Use Regression Analysis -- 4. The Classical Model -- 5. Hypothesis Testing -- 6. Specification: Choosing the Independent Variables -- 7. Specification: Choosing a Functional Form -- 8. Multicollinearity -- 9. Serial Correlation -- 10. Heteroskedasticity -- 11. Running Your Own Regression Project -- 12. Time-Series Models -- 13. Dummy Dependent Variable Techniques -- 14. Simultaneous Equations -- 15. Forecasting -- 16. Experimental and Panel Data -- 17. Statistical Principles.
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| Book | City Campus City Campus Main Collection | 330.015195 STU (Browse shelf(Opens below)) | 1 | Available | A547594B | ||
| Book | City Campus City Campus Main Collection | 330.015195 STU (Browse shelf(Opens below)) | 1 | Available | A504456B |
Browsing City Campus shelves, Shelving location: City Campus Main Collection Close shelf browser (Hides shelf browser)
| 330.015195 PAL Palgrave handbook of econometrics. Vol. 2, Applied econometrics / | 330.015195 PIN Econometric models and economic forecasts / | 330.015195 STO Introduction to econometrics / | 330.015195 STU Using econometrics : a practical guide / | 330.015195 STU Using econometrics : a practical guide / | 330.015195 VER A guide to modern econometrics / | 330.015195 VER A guide to modern econometrics / |
Includes bibliographical references and index.
1. An Overview of Regression Analysis -- 2. Ordinary Least Squares -- 3. Learning to Use Regression Analysis -- 4. The Classical Model -- 5. Hypothesis Testing -- 6. Specification: Choosing the Independent Variables -- 7. Specification: Choosing a Functional Form -- 8. Multicollinearity -- 9. Serial Correlation -- 10. Heteroskedasticity -- 11. Running Your Own Regression Project -- 12. Time-Series Models -- 13. Dummy Dependent Variable Techniques -- 14. Simultaneous Equations -- 15. Forecasting -- 16. Experimental and Panel Data -- 17. Statistical Principles.
Machine converted from AACR2 source record.
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