ApolloChoiceModelling forum

Thanks a lot for these insights. It is very useful to have your comments. The reason why we were considering the scale was that the dataset included a split sample, where half of the respondents got one version of the choice cards whereas the other half got another version. Thus we reasoned that the...

Thank you for the very clarifying response. I see the point in keeping to a simpler model compared to more complex when estimating parameters, and the reason I prefer the model in WTP-space is the direct interpretation of the parameters, and not having to think of potential differences in the scale ...

Hello I am running a simple MNL model in WTP space. The model is as follows: V = list() V[["alternative1"]] = b_COST *( asc_SQ + b_SB * SB1 + b_JOB * JOB1 + b_SAL * SAL1 + COST1) V[["alternative2"]] = b_COST *( b_SB * SB2 + b_JOB * JOB2 + b_SAL * SAL2 + COST2) V[["alternativ...

Yes, very helpful indeed!
Thank you.
will try to keep posts to the Forum strictly apollo-related!!
I am very happy that this forum exists.

BR,
Margrethe

Dear prof Hess & Dr Palma We have estimated a LC model including interactions for sex and age in the class-allocation part of the model. The model runs well, but having the results we are somewhat uncertain about how to interpret the estimated parameters (gamma_sex, gamma_age)? Are these paramet...

Hi again David I have a question related to that of the CIs. I am running a Poe test to find out whether two coefficients are equal or not. I use the mded package, and this code: coef_land_T <- rnorm(1000, coef(model)[12], sqrt(vcov(model)[12,12])) coef_land_B <- rnorm(1000, coef(model)[7], sqrt(vco...

Thanks a lot.
Very useful to have this CI code!!

best regards,
Margrethe

Hi I am using the following code to calculate confidence intervals for estimated coefficients: s.e. = sqrt(vcov(model)[11,11]) ci95 = function(coef_bunn_T) { t.value = 1.96 standard.error = s.e. ci = t.value*standard.error cat("95% Confidence Interval =", mean(coef_bunn_T) - ci, "to &...

Hi I estimated this model in wtp-space: V = list() V[['alt1']] = Certain *(cost_B*(asc_B + torsk_B * KT1 + Cost1 + laks_B * VL1 + bunn_B * HB1 + land_B * KL1))+ (1-Certain)*(cost_T*(asc_T + torsk_T * KT1 + Cost1 + laks_T * VL1 + bunn_T * HB1 + land_T * KL1)) V[['alt2']] = Certain * (cost_B*(torsk_B ...

Hi I have specified the following model; V = list() V[['alt1']] = Certain *(cost_B*(asc_B + torsk_B * KT1 + Cost1 + laks_B * VL1 + bunn_B * HB1 + land_B * KL1))+(1-Certain)*(cost_T*(asc_T + torsk_T * KT1 + Cost1 + laks_T * VL1 + bunn_T * HB1 + land_T * KL1)) V[['alt2']] = Certain * (cost_B*(torsk_B ...