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st: RE: missing standard errors when using nl command

From   "Nick Cox" <>
To   <>
Subject   st: RE: missing standard errors when using nl command
Date   Tue, 16 Sep 2003 12:01:18 +0100

stephen hynes (modulo deprecated HTML): 

> I am using the nl command to fit a nonlinear 
> function to my dependand variable by least squares. 
> I have a dataset with 6 years of observations on approx. 
> 5000 individuals. I am carrying out a variance covariance 
> analysis using the minimum distance method and am trying 
> to fit an appropriate econometric specification to my error 
> component model (for Irish earnings). When I run my model 
> specification using nl I get no results back for my standard 
> errors, only dots. Can anyone tell me why this may be so. 
> Are the number of years of observations too small?

Difficult to diagnose at a distance, especially 
with no knowledge on my part of this class of models
or your data set. 

Missing standard errors can arise for all sorts 
of reasons. I would tend to guess collinearity 
or convergence problems. Whenever I've used it 
I've found -nl- unable to produce miracles if (in 
retrospect) I made silly guesses initialising parameters. It 
often needs a good hint about where to start. 

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