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st: Gllamm multinominal logit model estimation problems
From 
 
Alec Minnema <[email protected]> 
To 
 
<[email protected]> 
Subject 
 
st: Gllamm multinominal logit model estimation problems 
Date 
 
Mon, 13 Feb 2012 12:04:15 +0100 
Dear Statalist users, 
I am trying to estimate the choice of households to buy a product i in week t. I would like to do this with the gllamm module in Stata.
The data is in the expanded format and consist of the following variables:
Brand= The set of brands, in total 4 brands.
Brand1-Brand3 are dummy variables for the brands.
v35= Price of brand x in week t.
v37=The variable that identifies consist of the ID(v5) and the week t.
BrandSelected=Indicates if the brand is selected
v5=ID
The resulting model in Gllamm is specified in the following manner:
 
gllamm Brand Brand1 Brand2 Brand4 v35, expanded(v37 BrandSelected o) i(v5) noconstant iterate(20) nip(20) family(binom) link(mlogit) adapt trace search(20) 
 
Please note that there are atleast 5 observations per ID, so in 5 weeks the households decides to buy a brand.
Please note that there are no none options.
Please note that a household can only buy one brand per week.
In total there are:
number of level 1 units = 1444
number of level 2 units = 37
If I estimate this model, it first finds initial values in four iterations.
Afterwards, stata produces the following output:
start running on 13 Feb 2012 at 11:51:57
Searching for initial values for random effects
likelihood:
 -453.4502  -453.4502  -453.4502  -453.4502  -453.4502  -453.4502 
 -453.4502  -453.4502  -453.4502  -453.4502  -453.4502  -453.4502 
 -453.4502  -453.4502  -453.4502  -453.4502  -453.4502  -453.4502 
 -453.4502  -453.4502 
Running adaptive quadrature
------------------------------------------------------------------------------
Iteration 0 of adaptive quadrature:
Initial parameters:
        Brand:     Brand:     Brand:     Brand:       v51:
       Brand1     Brand2     Brand4        v35      _cons
y1  -.4985762  -.7274367    .344051  -.0191824         .5
Updated log likelihood:
 -453.4502  -453.4502 
                                                   log likelihood =  -453.4502
------------------------------------------------------------------------------
Iteration 1 of adaptive quadrature:
Updated parameters:
(error occurred in ML computation)
(use trace option and check correctness of initial model)
finish running on 13 Feb 2012 at 11:52:02
 
Can anybody please help me by explaining the reason for this error term and how to solve it.
Kind Regards,
Alec Minnema
PhD student, University of Groningen.
  		 	   		  
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