I conducted discrete choice experiment but have been analyzed for 2 months. Anybody helps me with this mixed logit problem...
My experiment was conducted with 3 alternatives (option 1, option 2, option 3) and 3 attributes (soc, man, inc)
I also have a few individual characteristics and want to use these:
avg.charge.cost, avg.charge.num, milage start.time.mon,
start.time.aft, start.time.eve, start.time.nig, start.time.rand (these are dummy variables)
It is hard to interpret with socio-demographic variables. Below is the mlogit code and results. I cannot interpret socio-demographic variables such as "start.time.mon:2" since 2 is just the name of option which is consist of 3 alternatives (soc, man, inc). It is not like boat, charter, something like in example......
Therefore, it doesn't have meaning such as start.time.mon:2, start.time.eve:3,milage:2 ...
- How can I delete intercept:2, intercept:3? and
- How should I put individual characteristics in this situation?
Code:
Call:
mlogit(formula = choice ~ soc + man + inc | avg.charge.cost +
avg.charge.num + milage + start.time.mon + start.time.aft +
start.time.eve + start.time.nig | 0, data = dce.mlogit.alt3,
rpar = c(soc = "n", man = "n", inc = "n"), R = 100, halton = NA,
panel = TRUE)
Result:
[enter image description here][1]
[1]: https://i.stack.imgur.com/zx5rF.png
