My survey is about WTP for organic food using CBC. It contains 2 attributes, Price (4 levels) and Label (2 levels), made 12 choice sets. I am going to estimate the relevance between choice A, B and C(non-buying) for my study. Below is the data that I want to include in my result. ( numbers are created only for example)

Coefficients Estimates(Utilities) Std. error T-values P-values

Choice A 3.1 0.09 34.16 0.0000

Choice B 3.5 0.06 59.56 0.0000

Price -0.4 0.008 -52.96 0.0000

Label 1 1.4 0.06 25.6 0.0000

Label 2 0.5 0.04 10.47 0.0000

Number respondents * 12 choice sets

Log likelihood xxxxxx

Chi Square xxxxxxx

In this case,

Q 1: I am not sure if I can estimate with Logit (MNL) and HB (Bayesian version of mixed logit).

Q 2: How can I get the data for Choice A & B?

Can anyone please kindly advise? Thanks.

thank you for your remind. Alternative-specific constants (Choice A and Choice B), that is what I want to estimate them to indicate the utility of each option relative to the NONE (Choice C). I have run the Analysis with Logit, and I get the data shown below. In that case, is still possible to calculate Choice A & B?

Coefficients Effect (Estimates?) Std. error T-Ratio P-values

Choice A ? ? ?

Choice B ? ? ?

Price 1 0.30220 0.09754 3.09835

Price 2 0.09345 0.09782 0.95527

Price 3 -0.10742 0.09890 -1.08612

Price 4 -0.28823 0.10167 -2.83481

Label 1 0.02067 0.04767 0.43358

Label 2 -0.02067 0.04767 -0.43358

None -1.09368

Number 528 ( 44 NumResp * 12 choice sets)

Log likelihood -521.70079

Chi Square 116.73300