[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: Too few clusters in ivreg2 - again
Ramani Gunatilaka --
I will not reply to your private correspondence with Mark, who is
eminently suited to comment, but I do want to point out that you have
a number of problems:
1. *weak instruments*
as evidenced by the diagnostics reported after the first-stage output,
Test of excluded instruments:
F( 2, 11) = 3.91
Prob > F = 0.0522
NB: first-stage F-stat cluster-robust
Weak identification statistics:
Cragg-Donald (N-L)*minEval/L2 F-stat 4.24
NB: identification statistics not robust
See -findit condivreg- for tests (-condtest-) robust to that problem.
2. *insufficient clusters*
Even if you resolve your "estimated covariance matrix of moment
conditions not of full rank" problem, you only have 12 clusters, which
is not really approaching infinity IMHO. Recall that the
cluster-robust estimator is consistent as m (the number of clusters)
gets large, and "large enough" seems to often be 50 or more.
3. *model spec may not be appropriate for dependent variable*
I am speculating here, but I am guessing that "happy" is a qualitative
dependent variable, and you may prefer -ivprobit- or somesuch.
. which ivprobit
*! version 1.1.9 11oct2006
On 11/8/06, Ramani Gunatilaka <firstname.lastname@example.org> wrote:
Sorry to bother you again.
I updated my version of ivreg2.
I am sorry if these seem basic questions, but I have not been able to
figure this out.
I did use fwl and specified the model as follows:
But I got an error.
* For searches and help try: