Instrument Relevance in Multivariate Linear Models

Leslie Godfrey

The Review of Economics and Statistics, 1999, vol. 81, issue 3, 550-552

Abstract: A measure of the relevancy of instruments used to estimate the coefficients of a linear multiple regression model is discussed. A method for computing the measure using only standard results from ordinary least squares and two-stage least squares estimation is described. The method is illustrated using an empirical example. © 1999 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology

Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (45)

Downloads: (external link)
http://www.mitpressjournals.org/doi/pdf/10.1162/rest.1999.81.3.550 (application/pdf)
Access to full text is restricted to subscribers.

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:tpr:restat:v:81:y:1999:i:3:p:550-552

Ordering information: This journal article can be ordered from
https://mitpressjour ... rnal/?issn=0034-6535

Access Statistics for this article

The Review of Economics and Statistics is currently edited by Pierre Azoulay, Olivier Coibion, Will Dobbie, Raymond Fisman, Benjamin R. Handel, Brian A. Jacob, Kareen Rozen, Xiaoxia Shi, Tavneet Suri and Yi Xu

More articles in The Review of Economics and Statistics from MIT Press
Bibliographic data for series maintained by The MIT Press ().