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st: RE: Redpace


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Redpace
Date   Wed, 2 Jun 2010 11:45:06 +0100

The missing reference is 

SJ-6-2  st0106  . MSL random-effects dynamic probit mod. with autocorr. errors
        (help redpace if installed) . . . . . . . . . . . . . .  M. B. Stewart
        Q2/06   SJ 6(2):256--272
        introduces new command, redpace, to be used in MSL
        estimation for random-effects dynamic probit models
        with autocorrelated errors

As often noted on this list, minimal author (year) references are regarded as incomplete. 

I would be happy to be wrong but this looks like a case in which

1. The author and expert is not a member of Statalist. He may be able to advise better but you would need to contact him directly. 

2. This is a specialised command on which there may not be much experience among active list members. 

3. The question of what will work better with your data is difficult to answer in abstraction. For example, there is no indication of what commands you are trying, including how complicated a model you are attempting to fit. Banal though it is, some of us find ourselves repeating very simple advice: if your model won't converge, try a much simpler one. 

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

Davillas Apostolos

I am trying to run -redpace (Stewart, 2006).
I am following a procedure to begin with small number of replications
(R=5, 10 etc) and then use these results as 
starting values for larger R (option -from). 

However, after a certain number of R (about R=20) I could not find concave
cases.
Any suggestion will be very helpful. 
Did the halton option or the antithetic improve the convergence. 


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