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

By: Material type: TextTextSeries: Pearson series in economicsPublication details: Boston : Addison-Wesley, c2011.Edition: 6th edDescription: xvii, 616 p. : ill. ; 24 cmISBN:
  • 9780131367739 (alk. paper)
  • 0131367730 (alk. paper)
Subject(s): DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB139 .S795 2011
Online resources:
Contents:
An overview of regression analysis -- Ordinary least squares -- Learning to use regression analysis -- The classical model -- Hypothesis testing -- Specification : choosing the independent variables -- Specification : choosing a functional form -- Multicollinearity -- Serial correlation -- Heteroskedasticity -- Running your own regression project -- Time-series models -- Dummy dependent variable techniques -- Simultaneous equations -- Forecasting -- Experimental and panel data -- Statistical principles.
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Holdings
Item type Current library Call number Status Barcode
Long Loan Books Long Loan Books Main Campus Library General Stacks HB 139 .S795 2011 (Browse shelf(Opens below)) Available MRCL16087574
Long Loan Books Long Loan Books Main Campus Library General Stacks HB139 .S795 2011 (Browse shelf(Opens below)) Available 1053870
Long Loan Books Long Loan Books Main Campus Library General Stacks HB139 .S795 2011 (Browse shelf(Opens below)) Available 101402358
Long Loan Books Long Loan Books Mombasa Campus Library General Stacks HB139 .S795 2011 (Browse shelf(Opens below)) Available 801003515
Long Loan Books Long Loan Books Nairobi Campus Library General Stacks HB139 .S795 2011 (Browse shelf(Opens below)) Available 002010213
Long Loan Books Long Loan Books Nairobi Campus Library General Stacks HB139 .S795 2011 (Browse shelf(Opens below)) Available 201002412

Includes bibliographical references and index.

An overview of regression analysis -- Ordinary least squares -- Learning to use regression analysis -- The classical model -- Hypothesis testing -- Specification : choosing the independent variables -- Specification : choosing a functional form -- Multicollinearity -- Serial correlation -- Heteroskedasticity -- Running your own regression project -- Time-series models -- Dummy dependent variable techniques -- Simultaneous equations -- Forecasting -- Experimental and panel data -- Statistical principles.

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