Image from Google Jackets

Introduction to econometrics. / G.S. Maddala, Kajal Lahiri.

By: Contributor(s): Material type: TextPublication details: Chichester, U.K: Wiley, 2009.Edition: 4th edDescription: xx, 634 p. : ill. ; 24 cmISBN:
  • 9780470015124 (pbk.)
  • 0470015128 (pbk.)
Subject(s): DDC classification:
  • 330.01/5195 22
LOC classification:
  • HB139.M35
Contents:
What is econometrics? -- Statistical background and matrix algebra -- Simple regression -- Multiple regression -- Heteroskedasticity -- Autocorrelation -- Multicollinearity -- Dummy variables and truncated variables -- Simultaneous equations models -- Diagnostic checking, model selection, and specification testing -- Errors in variables -- Introduction to time-series analysis -- Models of expectations and distributed lags -- Vector autoregressions, unit roots, and cointegration -- Panel data analysis -- Small-sample inference : resampling methods.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY General Stacks WISCONSIN INTERNATIONAL UNIVERSITY COLLEGE, GHANA KUMASI LIBRARY HB139.M35(4e) (Browse shelf(Opens below)) Available K/265/265/19

Includes bibliographical references and index.

What is econometrics? -- Statistical background and matrix algebra -- Simple regression -- Multiple regression -- Heteroskedasticity -- Autocorrelation -- Multicollinearity -- Dummy variables and truncated variables -- Simultaneous equations models -- Diagnostic checking, model selection, and specification testing -- Errors in variables -- Introduction to time-series analysis -- Models of expectations and distributed lags -- Vector autoregressions, unit roots, and cointegration -- Panel data analysis -- Small-sample inference : resampling methods.

There are no comments on this title.

to post a comment.
Share

If you have any concerns or questions; kindly contact the library


© Powered by WIUC ICT DIRECTORATE