Hi,
Currently I am working on research project entitled “U. S. Consumers’ willingness to pay for pork produced with minimal use of antibiotics or no use of antibiotics.” I am conducting discrete choice experiment and want to use efficient designs to find out the choice sets. In our research we have 3 alternatives; Option A, Option B and Neither. The four attributes are Price ($2.99, $4.99, $6.99 and $8.99), Use of Antibiotics (Conventional, Minimal Use and Antibiotic free), Production Method (Standard, Traditional) and Use of synthetic growth promoter (SGP) (Yes, No) with their attribute levels within the parentheses.
We have developed the model like this to run in Ngene,
Design
;alts= optA, optB, Neither
;rows=8
;eff= (rp,d, mean)
;block=2
;model:
U(optA) = b1[(u,-0.34, -0.28)]*price.ref[2, 4, 6, 8]
+ b2[u, -0.8, 1.1] * Anti.ref[0, 2, 4]
+ b3[(u, 0.5,1)] * production.ref[1, 2]
+ b4[(u,-0.7, 0.5)] * SGP.ref[0, 1]/
U(optB) = b1*price[2, 4, 6, 8]
+ b2 * Anti[0, 2, 4]
+ b3 * production[1, 2]
+ b4 * SGP[0, 1] /
U(Neither) = b1*price[0]
+ b2 * Anti[0]
+ b3 * production[0]
+ b4 * SGP[0]
$
I am really not sure about the model we designed to run in Ngene. I am very new in using the Ngene software. Could you let me know whether I am going on right track or do I need to make the modifications on it??