Dear all,
I am encountering a convergence problem with the 'cmxtmixlogit' command, using STATA 16.1 for windows.
I performed a discrete choice experiment with 5 attributes (specified random, hereafter regrouped under $att). I also included an ASC (specified random) to represent the opt-out alternative. My dataset contains 1,476 observations: 82 decision makers (Id_farmer), each evaluating 6 choice cards (card) with 3 alternatives - including the opt-out - (alternative), with cards regrouped under 2 blocks --> a total of 12 cards exist). To analyse the data I wrote:
cmset Id_farmer card alternative
cmxtmixlogit chosen, random(ASC $att)
The model doesn't converge. Could it be related to the fact that each respondent only evaluates 6 out of the 12 cards?
Thanks in advance!
I am encountering a convergence problem with the 'cmxtmixlogit' command, using STATA 16.1 for windows.
I performed a discrete choice experiment with 5 attributes (specified random, hereafter regrouped under $att). I also included an ASC (specified random) to represent the opt-out alternative. My dataset contains 1,476 observations: 82 decision makers (Id_farmer), each evaluating 6 choice cards (card) with 3 alternatives - including the opt-out - (alternative), with cards regrouped under 2 blocks --> a total of 12 cards exist). To analyse the data I wrote:
cmset Id_farmer card alternative
cmxtmixlogit chosen, random(ASC $att)
The model doesn't converge. Could it be related to the fact that each respondent only evaluates 6 out of the 12 cards?
Thanks in advance!
