Show simple item record

dc.contributor.author Brook, Richard en_US
dc.contributor.author Wallace, Dudley en_US
dc.date.accessioned 2010-03-09T15:29:37Z
dc.date.available 2010-03-09T15:29:37Z
dc.date.issued 1973 en_US
dc.identifier.uri http://hdl.handle.net/10161/1915
dc.description.abstract The Theil-Goldberger ( 196 1) exposition of combining sample and prior information is well known and appears now in standard textbooks for graduate econometrics courses. Diminishing the value of the prior relative to the sample information can be easily seen to lead to least squares in the limit, given the formula for the BLU estimator. However, it is not so obvious what happens when the converse limit is examined. Therefore, the purpose of this note is to show that as the variance of the errors on the priors approaches zero, the Theil-Goldberger estimator goes to the estimator implied by exact restrictions. en_US
dc.format.extent 73670 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.publisher Journal of Econometrics en_US
dc.subject ECONOMETRICS en_US
dc.subject theil-Goldberger en_US
dc.subject variance of errors en_US
dc.title A note on extraneous information in regression en_US
dc.type Journal Article en_US
dc.department Economics

Files in this item

This item appears in the following Collection(s)

Show simple item record