Modelling Economic Series
Published on 1. March 1990
Book
Hardback
425 pages
978-0-19-828689-9 (ISBN)
Description
This is a volume of readings for graduate students, especially those taking courses in applied econometrics, who need to learn how to evaluate the validity of the theories and techniques they are taught. The aim is to help them in the difficult task of actually constructing models. A variety of alternative strategies is discussed: the collection includes 17 papers by the leading authorities in the field, 3 of them previously unpublished, and is prefaced with an introduction to the controversies of econometric methodology by the editor. The papers vary in the degree of technical sophistication used but anyone reading the book should gain a sound knowledge of the practical difficulties in model specification, evaluation and interpretation, as well as advice on tackling these difficulties.
More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
College/higher education
Illustrations
line drawings, bibliography, index
ISBN-13
978-0-19-828689-9 (9780198286899)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Part I: Introduction to Part I: Edward E. Leamer: Let's take con out of econometrics; Michael McAleer, Adrian R. Pagan & Paul A. Volker: What will take the con out of econometrics; Trevor S. Breusch: Simplified extreme bounds; Adrian R. Pagan, Paul A. Volker, Thomas F. Cooley & Stephen F. LeRoy: What will take the con out of econometrics: A reply to McAleer; Edward E. Leamer: Sensitivity analysis would help; Adrian Pagan: Three econometric methodologies: A critical appraisal; David F. Hendry & Grayham E. Mizon: Procrustean econometrics: or stretching and squeezing data; Christopher A. Sims: Macroeconomics and reality; Part II: Alternative Methodologies: Introduction to Part II: Ray Fair: Macroeconomic methodology; Richard M. Todd: Improving economic forecasting with Bayesian vector autoregression; Edward E. Leamer: A Bayesian analysis of the determinants of inflation; Arnold Zellner: Bayesian analysis in econometrics; Part III: LSE Methodology: Introduction to Part III: Christopher Gilbert: Professor Hendry's econometric methodology; David F. Hendry & Jean-Francois Richard: On the formulation for empirical models in dynamic econometrics; Aris Spanos: Towards a methodology of econometric modelling; Part IV: Model Evaluation and Selection: Introduction to Part IV: Halbert White: Model selection; Y. Chong & D. F. Hendry: Econometric evaluation of linear macro-economic models