Abstract
In this Chapter we survey that group of model selection procedures which have been derived within a decision framework in which there is no a priori information on the parameters. A loss function is explicitly assumed and the different criteria are based on the comparison of the estimated values of the corresponding risk function. Within these procedures we can distinguish two groups. The first one consists of those procedures that derive their risk functions assuming that one of the models is the true model. The second one includes those procedures for which the risk functions are obtained assuming in turn that each model is the true one.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1989 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Grasa, A.A. (1989). Set of More Informative Models. In: Econometric Model Selection: A New Approach. Advanced Studies in Theoretical and Applied Econometrics, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1358-0_6
Download citation
DOI: https://doi.org/10.1007/978-94-017-1358-0_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4051-0
Online ISBN: 978-94-017-1358-0
eBook Packages: Springer Book Archive