Essentials of econometrics. / Damodar N. Gujarati
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TextPublisher: Boston: Mcgraw Hill, 2010Edition: 4th edDescription: xxii,554p.; ill.: 24cmISBN: 9780071276078LOC classification: HB139.G85| Item type | Current location | Home library | Call number | Copy number | Status | Date due | Barcode |
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY Reference | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY | HB139.G85 (Browse shelf) | 1 | Available | 7764/191/14 | |
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY Reference | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY | HB139.G851 (Browse shelf) | 2 | Available | 7765/192/14 | |
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY | HB139.G851(4e) (Browse shelf) | 2 | Available | K/778/778/19 | |
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| HD30.22.B722(6e) Managerial economics and organizational architecture. / | HD30.22.B723(6e) Managerial economics and organizational architecture. / | HD30.22.B724(6e) Managerial economics and organizational architecture. / | HB139.G85(4e) Essentials of econometrics. / | HB139.G851(4e) Essentials of econometrics. / | HB172.V34(8e) Intermediate microeconomics: a modern approach. / | HB172.V341(8e) Intermediate microeconomics: a modern approach. / |
Includes index and appendix.
Contents: The nature and scope of econometrics -- The linear regression model: Basic ideas of linear regression: the two-variable model -- The two variable model: hypothesis testing -- Multiple regression: Estimation and hypothesis testing -- Functional forms of regression models -- Dummy variable regression models -- Model selection: Criteria and tests -- Multicollinearity: What happens if explanatory variables are correlated -- Heteroscedasticity: What happens if the error variance is nonconstant -- Autocorrelation: What happens if error terms are correlated -- Advanced topics in econometrics: Simultaneous equation models -- Selected topics in single equation regression models.
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