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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 ALGHAZALI LIBRARY ALGHAZALI 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 ALGHAZALI LIBRARY ALGHAZALI LIBRARY OS Collection on Open Shelf - For Lend HB139 .S795 2014 (Browse shelf(Opens below)) 2/2 Available GHAZ15074250
Browsing ALGHAZALI 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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