Thursday, July 8

A non-technical explanation of omitted variables bias

The economics blog Mahalanobis provides what I think is a nice explanation of the potential bias that results when one excludes relevant variables from a statistical analysis. It is a useful example that, best of all, is explained without jargon or greek symbols. This is more difficult to do than one might think.

1 Comments:

Blogger Euge said...

It's a nice webpage and I'm going to go back to it. But who would be simpleminded enough to believe that something like quit-rate could be explained, ie, have virtually all non-error of measurement variance accounted for, by one variable?

6:06 PM  

Post a Comment

<< Home