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st: RE: bootstrapping with unbalanced panel


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: bootstrapping with unbalanced panel
Date   Thu, 4 Nov 2004 18:58:48 -0000

You should search the Statalist archives. There have many 
posts in the last few months on bootstrapping 
time series. The consensus seems to be that 
naive bootstrapping with time series is a very 
bad idea, for precisely the reason you mention, 
dependence structure. Special methods have been proposed
to bootstrap time series, but none appears to 
have been implemented in Stata. On the other hand, 
bootstrapping in terms of selecting or not selecting 
panels may not be so crazy, but others may well 
comment in more detail and with more authority. 

Nick 
n.j.cox@durham.ac.uk 

Carmine Ornaghi
> 
> I have an unbalanced panel data of firms (with
> observations between 3 and 10 periods). I use this
> data to estimate a production function using dynamic
> GMM (Arellano and Bond).
> 
> Now I want to do some sort of 'bootstrapping. In
> particular, I have the following doubts:
> 1) I think I need to preserve the same time structure.
> What I mean is that I want the random sample to have
> the same number of firms with only 3 observations, 4
> observations, ... 10 observations that the original
> dataset has. In this way they are UNBALANCED in the
> same way
> 2) I have done some experiment with the STATA command
> bsample but I have a problem. The Sargan Test of
> overidentified restriction is easily passed with the
> original dataset but never with all the random samples
> created. Do you know why and how I can give a higher
> probability of entering into the sample to those
> observation that minimize the Sargan Test.
> 
> Thanks a lot,
> 
> Carmine
> 
> 
> 
> 		
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