
Econometrics (Routledge Revivals)
A Varying Coefficents Approach
Routledge (Publisher)
1st Edition
Published on 26. March 2012
Book
Paperback/Softback
374 pages
978-0-415-60698-1 (ISBN)
Description
Originally published in 1981, this book considers one particular area of econometrics- the linear model- where significant recent advances have been made. It considers both single and multiequation models with varying co-efficients, explains the various theories and techniques connected with these and goes on to describe the various applications of the models. Whilst the detailed explanation of the models will interest primarily econometrics specialists, the implications of the advances outlined and the applications of the models will intrest a wide range of economists.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 21 mm
Weight
490 gr
ISBN-13
978-0-415-60698-1 (9780415606981)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
01/2017
1st Edition
Routledge
€215.41
Shipment within 10-20 days

E-Book
07/2014
1st Edition
Routledge
€64.49
Available for download

E-Book
07/2014
1st Edition
Routledge
€64.49
Available for download
Persons
Baldev Raj, Aman Ullah
Author
Indira Gandhi Centre of Atomic Research, Kalpakkam, India
University of California, Riverside, USA
Content
One: Single equation varying coefficiant models 1. Introduction 2. Simple linear model with varying coefficients 3 .Estimation of means and variances of random coefficients in a simlpe regression model 4. Multiple regression with randomly varying coefficients 5. Properties of the purely random coeffient models 6. Contemporaneous correlation and autocorrelation 7. Multicollinearity 8. Polynomial distributed lag 9. Stability of regression coefficients: two applications Two: Multi equations varying coefficient models 10. Temporal cross-section models 11. Seemingly uncorrelated regressions 12. Simultaneous equation systems: indentification problem 13. Simultaneous equation systems: estimation