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

By: Series: Pearson series in economicsPublication details: Boston : Addison-Wesley, c2014Edition: 6th edDescription: xvii, 616 p. : ill. ; 24 cmISBN:
  • 9781292021270
Subject(s): DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB139 .S795 2014
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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Item type Current library Home library Collection Shelving location Call number Materials specified Copy number Status Date due Barcode
Open Shelf Books Open Shelf Books AL-GHAZALI LIBRARY AL-GHAZALI LIBRARY OS Collection on Open Shelf - For Lend HB139 .S795 2014 (Browse shelf(Opens below)) 1/2 Available GHAZ15074249
Open Shelf Books Open Shelf Books AL-GHAZALI LIBRARY AL-GHAZALI LIBRARY OS Collection on Open Shelf - For Lend HB139 .S795 2014 (Browse shelf(Opens below)) 2/2 Available GHAZ15074250
Browsing AL-GHAZALI LIBRARY shelves, Shelving location: Collection on Open Shelf - For Lend Close shelf browser (Hides shelf browser)
HB139 .H555 2014 Practical econometrics : HB139 .R337 1989 Introductory econometrics with applications / HB139 .S795 2014 Using econometrics : HB139 .S795 2014 Using econometrics : HB141 .K829 2009 Analysis of economic data / HB141 .M425 2011 Matematik untuk ekonomi / HB171 1982 Casebooks on economic principles macroeconomics /

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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