choice-metrics.com

All clear now. Thank you very much for everything professor!
Have a lovely day!
Maria

professor, thank you very much.

Just to clarify.

Now that I want to calculate the SE(w) where w is the difference between the two coefficients (1 from each dataset).
SE(w)=sqrt([var(b1 )+var(b2 ) - 2*Cov(b1, b2 )])

assuming b1 here is the variance of the coefficient in dataset1 and b2 is the ...

Dear Professor,

I am trying to test the robustness of my willingness to pay estimates.
In a previous post, you had suggested a procedure for a test.
However, my problem is that I have two different datasets and I want to see whether the willingness to pay estimates are statistically different ...

Thank you Professor.

professor,

I would like to test a hypothesis that preferences for certain attributes are different/equal between two demographics i.e. the parameter values are different/equal between 2 models.
One way would be comparing WTP. Is there any other method that would be more suitable? for instance ...

Dear Professors,

Could you suggest recommended text guiding the analysis for pivot designs please?

Thank you

Professor,

1. Do I need to include interactions i in the alt 2 as well?

2. So as a reminder, my priors come from a previous study code 1 above and the new study is a continuation code2. I want to be able to make comparisons between the two studies. Now, in the first study I effects coded my ...

THANK YOU VERY MUCH PROFESSOR!

Maria

Thank you professor.

I have attempted to code the interactions (see below) and I get a d-error of 3.02 (after running it for a while) which is worrying me. Do you see any obvious problems with my syntax?
?consumer main

Design
;alts(beef) = alt1, alt2, neither
;alts(milk) = alt1, alt2, neither ...

Professor,

I need your guidance on this.
I am trying to understand and implement interaction effects. In my first survey I had not used any interactions in my design. Here is the old code (homogenous bayesian efficient design with 2 products) and I will modify this with new priors, SD:

Design ...