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Using econometrics: a practical guide / A. H. Stundenmund.

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Material type: TextPublication details: New York : Pearson Education Inc., 2006.Edition: 5th edDescription: xv, 639 p. : ill. ; 23 cmISBN:
  • 0321311558
LOC classification:
  • HB139.S795(5e)
Contents:
Contents : Part I: The basic regression analysis: An overview of regression analysis -- Ordinary least squares -- Learning to use regression analysis -- The classical model -- Hypothesis testing -- Part II: Violations of the classical assumptions: Specification: choosing variables -- Specification: choosing a functional form -- Multicollinearity -- Serial correlation -- Heteroskedasticity -- A regression user's handbook -- Part III: Extensions of the basic regression model: Time-series models -- Dummy dependent variable techniques -- Simultaneous equations -- Forecasting -- Statistcal principles.
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Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB139.S795(5e) (Browse shelf(Opens below)) 1 Available 9462/163/23
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB139.S7951(5e) (Browse shelf(Opens below)) 2 Available 9463/164/23
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA - MAIN LIBRARY HB139.S7952(5e) (Browse shelf(Opens below)) 3 Available 9463/165/23

Includes appendix and index.

Contents : Part I: The basic regression analysis: An overview of regression analysis -- Ordinary least squares -- Learning to use regression analysis -- The classical model -- Hypothesis testing -- Part II: Violations of the classical assumptions: Specification: choosing variables -- Specification: choosing a functional form -- Multicollinearity -- Serial correlation -- Heteroskedasticity -- A regression user's handbook -- Part III: Extensions of the basic regression model: Time-series models -- Dummy dependent variable techniques -- Simultaneous equations -- Forecasting -- Statistcal principles.

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