Post-estimation scenario analysis
Posted: 11 Feb 2023, 04:56
Dear Stephane and David,
I run a couple of mixed logit models in which I asked respondents to choose between two unlabelled alternatives (i.e. Programme A vs Programme B), described by 6 attributes (each one with 3 levels).
Now that I have the results, I would like to run a post-estimation scenario analysis to investigate what is the value that people place on each potential programme. In other words, I want to come up with a list of programmes (ranked) that would maximize sample population’ utility.
To do so, I think I need to estimate the predicted probabilities for each potential programme (using the estimated coefficients). I don't think I can use the apollo_prediction function in this case. Any guidance on this would be much appreciated.
Thanks!
Best wishes,
Pamela.
I run a couple of mixed logit models in which I asked respondents to choose between two unlabelled alternatives (i.e. Programme A vs Programme B), described by 6 attributes (each one with 3 levels).
Now that I have the results, I would like to run a post-estimation scenario analysis to investigate what is the value that people place on each potential programme. In other words, I want to come up with a list of programmes (ranked) that would maximize sample population’ utility.
To do so, I think I need to estimate the predicted probabilities for each potential programme (using the estimated coefficients). I don't think I can use the apollo_prediction function in this case. Any guidance on this would be much appreciated.
Thanks!
Best wishes,
Pamela.