Introductory econometrics : a modern approach / Jeffrey M. Wooldridge.
Material type: TextPublisher: Boston, MA : Cengage, [2020]Copyright date: ©2020Edition: Seventh editionDescription: xxii, 826 pages : illustrations, charts ; 27 cmContent type:- text
- unmediated
- volume
- 1337558869
- 9781337558860
- 330.015195 23
- HB139 .W665 2020
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Book | City Campus City Campus Main Collection | 330.015195 WOO (Browse shelf(Opens below)) | 1 | Available | A563206B | ||
Book | City Campus City Campus Main Collection | 330.015195 WOO (Browse shelf(Opens below)) | 1 | Available | A563207B |
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330.015195 WOO Econometric analysis of cross section and panel data / | 330.015195 WOO Econometric analysis of cross section and panel data / | 330.015195 WOO Introductory econometrics : a modern approach / | 330.015195 WOO Introductory econometrics : a modern approach / | 330.015195 ZIL The cult of statistical significance : how the standard error costs us jobs, justice, and lives / | 330.0151950993 DEA Towards a model of the New Zealand economy / | 330.0151950993 EXP Experiments with a core model of the New Zealand economy / |
Includes bibliographical references and index.
1. The nature of econometrics and economic date -- Part 1. 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 -- 8. Heteroskedasticity -- 9. More on specification and data issues -- Part 2. 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 3. Advances 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 -- Math refresher A. Basic mathematical tools -- Math refresher B. Fundamentals of probability -- Math refresher C. Fundamentals of mathematical statistics -- Advanced treatment D. Summary of matrix algebra -- Advanced treatment E. The linear regression model in matrix form.
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