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Introductory econometrics / Jeffrey M. Wooldridge.

By: Material type: TextTextPublication details: Hampshire: Cengage Learning, c2014.Description: xviii, 603 p. : ill. ; 24 cmISBN:
  • 9781408093757
Subject(s): LOC classification:
  • HB139 WOO 2014
Online resources:
Contents:
Ch. 1. The nature of econometrics and economic data -- Pt. 1. Regression analysis with cross-sectional data -- Ch. 2. The simple regression model -- Ch. 3. Multiple regression analysis: estimation -- Ch. 4. Multiple regression analysis: inference -- Ch. 5. Multiple regression analysis: OLS asymptotics -- Ch. 6. Multiple regression analysis: further issues -- Ch. 7. Multiple regression analysis with qualitative information: binary (or dummy) variables -- Ch. 8. Hetroskedasticity -- Ch. 9. More on specification and data issues -- Pt. 2. Regression analysis with time series data -- Ch. 10. Basic regression analysis with time series data -- Ch. 11. Further issues in using OLS with time series data -- Ch. 12. Serial correlation and heteroskedasticity in time series regressions -- Ch. 13. Pooling cross sections across time: simple panel data methods -- Ch. 14. Advanced panel data methods -- Ch. 15. Instrumental variables estimation and two stage least squares -- Ch. 16. Simultaneous equations models -- Ch. 17. Limited dependent variable models and sample selection corrections -- Ch. 18. Advanced time series topics -- Ch. 19. Carrying out an empirical project -- Appendices.
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Item type Current library Call number Copy number Status Barcode
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre HB 139 WOO 2014 (Browse shelf(Opens below)) 017719 Available MzULM-017719
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre HB 139 WOO 2014 (Browse shelf(Opens below)) 017718 Available MzULM-017718

Includes bibliographical references and index.

Ch. 1. The nature of econometrics and economic data -- Pt. 1. Regression analysis with cross-sectional data -- Ch. 2. The simple regression model -- Ch. 3. Multiple regression analysis: estimation -- Ch. 4. Multiple regression analysis: inference -- Ch. 5. Multiple regression analysis: OLS asymptotics -- Ch. 6. Multiple regression analysis: further issues -- Ch. 7. Multiple regression analysis with qualitative information: binary (or dummy) variables -- Ch. 8. Hetroskedasticity -- Ch. 9. More on specification and data issues -- Pt. 2. Regression analysis with time series data -- Ch. 10. Basic regression analysis with time series data -- Ch. 11. Further issues in using OLS with time series data -- Ch. 12. Serial correlation and heteroskedasticity in time series regressions -- Ch. 13. Pooling cross sections across time: simple panel data methods -- Ch. 14. Advanced panel data methods -- Ch. 15. Instrumental variables estimation and two stage least squares -- Ch. 16. Simultaneous equations models -- Ch. 17. Limited dependent variable models and sample selection corrections -- Ch. 18. Advanced time series topics -- Ch. 19. Carrying out an empirical project -- Appendices.

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