Introductory econometrics: a modern approach. / Jeffrey M. Wooldridge
Material type: TextPublisher: London: South-Western, 2009Edition: 4th edDescription: xx, 865 p.: illISBN: 9780324788907; 0324788908Subject(s): EconometricsLOC classification: HB139.W91Item type | Current location | Home library | Call number | Copy number | Status | Date due | Barcode |
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Books | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY | HB139.W91(4e) (Browse shelf) | 1 | Available | K/261/261/19 | |
Books | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY | HB139.W911(4e) (Browse shelf) | 2 | Available | K/262/262/19 | |
Books | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks | WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY | HB139.W912(4e) (Browse shelf) | 3 | Available | K/263/263/19 |
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HF5691.Q17(12e) Quantitative methods for business. / by Anderson, David R. ]et al.] | HF5691.Q171(12e) Quantitative methods for business. / by Anderson, David R. ]et al.] | HB139.W91(4e) Introductory econometrics: a modern approach. / | HB139.W911(4e) Introductory econometrics: a modern approach. / | HB172.5.T78(5e) Macroeconomics for today's world. / | HB172.5.T781(5e) Macroeconomics for today's world. / | HB171.5.K681(2e) Modern microeconomics. / |
Includes bibliographic references, glossary and index.
Contents: The nature of econometrics and economic data -- The simple regression model -- Multiple regression analysis; estimation -- Multiple regression analysis: inference -- Multiple regression analysis: OLS asymtotics -- Multiple regression analysis: further issues -- Multiple regression analysis with qualitative information: binary (or dummy) variables -- Heteroskedasticity -- More on specification and data issues -- Basic regression analysis with time series data -- Further issues in using OLS with time series data -- Serial correlation and hetoroskedasticity in time series regressions -- Pooling cross sections across time -- Advanced panel data methods -- Instrumental variables estimation and two stage least squares -- Simultaneous equations model -- Limited dependent variable models and sample selection corrections -- Advanced time series topics -- Carrying out an empirical project -- Appendices: Basic mathematical tools -- Fundamentals of probability -- Fundamentals of mathematical statistics -- Summary of matrix algebra -- The linear regression model in matrix form -- Answers to Chapter questions -- Statistical tables --
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