
Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables
Charles Stockton Roehrig(Author)
Routledge (Publisher)
1st Edition
Published on 25. June 2019
Book
Paperback/Softback
150 pages
978-0-8153-5053-8 (ISBN)
Description
Originally published in 1984. This book brings together a reasonably complete set of results regarding the use of Constraint Item estimation procedures under the assumption of accurate specification. The analysis covers the case of all explanatory variables being non-stochastic as well as the case of identified simultaneous equations, with error terms known and unknown. Particular emphasis is given to the derivation of criteria for choosing the Constraint Item. Part 1 looks at the best CI estimators and Part 2 examines equation by equation estimation, considering forecasting accuracy.
More details
Series
Language
English
Place of publication
New York
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Dimensions
Height: 234 mm
Width: 156 mm
Weight
280 gr
ISBN-13
978-0-8153-5053-8 (9780815350538)
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.
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Other editions
Additional editions

Charles Stockton Roehrig
Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables
Book
03/2018
1st Edition
Routledge
€163.42
Shipment within 15-20 days

Charles Stockton Roehrig
Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables
E-Book
03/2018
Routledge
€47.49
Available for download

Charles Stockton Roehrig
Estimation of M-equation Linear Models Subject to a Constraint on the Endogenous Variables
E-Book
03/2018
1st Edition
Routledge
€47.49
Available for download
Person
Charles Stockton Roehrig
Content
Preface Part 1: "Best" Estimation Techniques 1. A Detailed Description of the Model 2. All Explanatory Variables Non-Stochastic, ? Known 3. All Explanatory Variables Non-Stochastic, ? Unknown 4. Simultaneous Equations Part 2: Equation by Equation Estimation 5. A Simple Three Equation Model 6. Extension to M Equations 7. Summary and Conclusions