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Introductory econometrics. / Jeffrey M. Wooldridge

By: Material type: TextPublication details: London: South-Western, 2013.Edition: 5th edDescription: xxv, 881 p.: illISBN:
  • 9781111531041
  • 1111531048
LOC classification:
  • HB139.W91
Contents:
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 -- 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 --
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY HB139.W91(5e) (Browse shelf(Opens below)) 1 Available K/872/872/19
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY HB139.W911(5e) (Browse shelf(Opens below)) 2 Available K/266/266/19

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 -- 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 --

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