A note on seemingly unrelated regression equations with residual vectors as explanatory variables
E. H. Oksanen
Statistics & Probability Letters, 1987, vol. 6, issue 2, 103-105
Abstract:
This paper demonstrates the equivalence of two SURE models. In the first, the explanatory variables of the first equation form a subset of those in the second equation. The second model is identical except that its second equation is augmented with the OLS residual vector from the first equation. There is a computational advantage in obtaining maximum likelihood estimates from the second model.
Keywords: unrelated; regression (search for similar items in EconPapers)
Date: 1987
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(87)90081-2
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:6:y:1987:i:2:p:103-105
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().