Model Reliability

This book addresses an often neglected aspect of econometrics, the question of how to assess the specification, strengths, weaknesses, limits, and sensitive features of a model. The contributions are the result of a five-year inter-university research project to improve understanding of concepts of model reliability. Contents Introduction , David A. Belsley and Edwin Kuh - Wholesale and Retail Prices: Bivariate Time Series Modeling with Forecastable Error Variables , C.W.J. Granger, R.P. Robins, and Robert F. Engle - Recursive Stability Analysis: The Demand for Money during the German Hyperinflation , Jean-Marie Dufour - A Bayesian Analysis of the Determinant of Inflation , Edward E. Learner - The Use of Outside Information in Econometric Forecasting , Mark N. Greene, E. Philip Howrey, and Saul H. Hymans - Centering, the Constant, First Differencing, and Assessing Conditioning , David A. Belsley - Applications of Bounded-Influence and Diagnostic Methods in Energy Modeling , Roy Welsch and Stephen Swartz - A Comparison of the Michigan and Fair Models: Further Results , Ray C. Fair and Lewis S. Alexander - Linear Analysis of Large Nonlinear Models and Model Simplification , Edwin Kuh, John Neese, and Peter Hollinger

• Format: Paperback
• Language: English
• ISBN: 0262524015
• ISBN13: 9780262524018
• Release Date: March 2003
• Publisher: Mit Press
• Length: 260 Pages
• Weight: 0.80 lbs.
• Dimensions: 0.7" x 5.9" x 8.9"
• Age Range: 18 years and up
• Grade Range: Postsecondary and higher