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Introduction to econometrics / Jeffrey M. Wooldridge.

By: Material type: TextPublication details: London : Cengage Learning EMEA, 2014.Edition: Europe, Middle East, & Africa edDescription: xvii, 603 p.: illISBN:
  • 9781408093757
Subject(s): LOC classification:
  • HB139.W87
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 -- Instrumental variables estimation an two stage least squares -- Simultaneous equations models -- Limited dependent variable models and sample selection corrections -- Advanced time series topics -- Carrying out an empirical project.
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Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY Reference WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB139.W87 (Browse shelf(Opens below)) 1 Available 8975/426/22
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY Reference WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB139.W871 (Browse shelf(Opens below)) 2 Available 8976/427/22
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY Reference WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB139.W872 (Browse shelf(Opens below)) 3 Available 8977/428/22

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 an two stage least squares -- Simultaneous equations models -- Limited dependent variable models and sample selection corrections -- Advanced time series topics -- Carrying out an empirical project.

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