Introductory econometrics. / Jeffrey M. Wooldridge

By: Wooldridge, Jeffery MMaterial type: TextTextPublisher: London: South-Western, 2013Edition: 5th edDescription: xxv, 881 p.: illISBN: 9781111531041; 1111531048LOC 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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Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
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WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
HB139.W91(5e) (Browse shelf) 1 Available K/872/872/19
Books Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
General Stacks
WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY
HB139.W911(5e) (Browse shelf) 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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