Instrument Relevance in Multivariate Linear Models
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
Volume (Year): 81 (1999)
Issue (Month): 3 (August)
|Contact details of provider:|| Web page: http://mitpress.mit.edu/journals/|
|Order Information:||Web: http://mitpress.mit.edu/journal-home.tcl?issn=00346535|
When requesting a correction, please mention this item's handle: RePEc:tpr:restat:v:81:y:1999:i:3:p:550-552. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anna Pollock-Nelson)
If references are entirely missing, you can add them using this form.