Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: RE: RE: eivreg and deming


From   "Nick Cox" <[email protected]>
To   <[email protected]>
Subject   st: RE: RE: eivreg and deming
Date   Tue, 1 Jun 2010 18:43:24 +0100

Compared with what? is a flip but nevertheless I suggest also a fair
answer. 

I can't comment on Tony's specifics here -- as there aren't any! -- but
I guess that many people feel queasy in this territory because deciding
on a proper treatment of situations in which all variables are subject
to error is very demanding. There are so many things to be specified
about error structure. 

StataCorp's own feelings appear mixed too: there is a bundle of good
stuff at http://www.stata.com/merror that is semi-official (my
description not theirs!). 

By the way, many economists and econometricians seem fixated on using
instrumental variables in this situation, but such methods don't exhaust
the possibilities. 

Nick 
[email protected] 

Lachenbruch, Peter

At a seminar not long ago, an eminent statistician commented that EIV
was not very useful and led to more problems (he didn't specify what
they were) that it was worth.  Anyone else have similar experience?

[email protected]

I need to do errors in variables regression, where the errors are
heteroscedastic. A Stata user has programmed a 'deming' ado -file for
this purpose. Does anyone have experience of its use?

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index