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Re: st: nonconvergence of switching probit when data weighted


From   Steven Samuels <[email protected]>
To   [email protected]
Subject   Re: st: nonconvergence of switching probit when data weighted
Date   Thu, 12 Mar 2009 09:14:07 -0400


Most of your weights are < 1, which is a sign of trouble, though maybe not yours. These observations do not even represent themselves.

-Steve
On Mar 12, 2009, at 8:00 AM, Paula Albuquerque wrote:

Dear Maarten,
Thank you for your answer.
I find no negative weights and I don't think there are any exceptionally large ones. The summary statistics for multipli (the weights) are the following, do you see anything suspect?


                          multipli
-------------------------------------------------------------
      Percentiles      Smallest
 1%     .1380898       .1380898
 5%     .1640099       .1380898
10%     .2761796       .1380898       Obs                 310
25%     .3280198       .1380898       Sum of Wgt.         310

50%     .4142693                      Mean           1.057564
                        Largest       Std. Dev.      1.143596
75%     2.149237       5.803271
90%     2.308206       5.880583       Variance       1.307813
95%      2.44962       6.582238       Skewness       1.956393
99%     5.803271       6.964251       Kurtosis        8.15605


Paula

One thing that jumps to mind is that you that there may be
something wrong with your weights. Try typing:
-sum weight, detail- (where weight needs to be replaced with
the variable name of your weight variable), and see if you
have any negative weights or if there are some exceptionally
high weights.

-- Maarten

-----------------------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://home.fsw.vu.nl/m.buis/
-----------------------------------------




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