# Mixed logit interpretation

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 ...

1. How can I delete intercept:2, intercept:3? and
2. How should I put individual characteristics in this situation?
``````
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:
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)

Frequencies of alternatives:choice
1       2       3
0.29233 0.36408 0.34358

bfgs method
2 iterations, 0h:0m:34s
g'(-H)^-1g = 4.72E+03
last step couldn't find higher value

Coefficients :
Estimate     Std. Error   z-value              Pr(>|z|)
(Intercept):2      0.33469658043  0.12180762852    2.7477              0.006001 **
(Intercept):3      0.22479454593  0.12506518319    1.7974              0.072269 .
soc                0.04314020545  0.00076835684   56.1461 < 0.00000000000000022 ***
man               -0.10143611100  0.00434805932  -23.3291 < 0.00000000000000022 ***
inc                0.00003393733  0.00000221364   15.3310 < 0.00000000000000022 ***
avg.charge.cost:2  0.00000111634  0.00000108569    1.0282              0.303840
avg.charge.cost:3 -0.00000034602  0.00000105725   -0.3273              0.743454
avg.charge.num:2   0.00042453222  0.00316500460    0.1341              0.893297
avg.charge.num:3  -0.00443059693  0.00327233817   -1.3540              0.175751
milage:2          -0.00051653573  0.00028698077   -1.7999              0.071877 .
milage:3           0.00019542444  0.00029649619    0.6591              0.509823
start.time.mon:2   0.14603008484  0.10239227800    1.4262              0.153816
start.time.mon:3   0.15078992009  0.10450330490    1.4429              0.149043
start.time.aft:2  -0.00503292803  0.12710403716   -0.0396              0.968414
start.time.aft:3  -0.05512992835  0.12544537138   -0.4395              0.660318
start.time.eve:2   0.01147774556  0.06731536435    0.1705              0.864611
start.time.eve:3  -0.09856076724  0.06888887389   -1.4307              0.152510
start.time.nig:2   0.06017213241  0.06093596402    0.9875              0.323415
start.time.nig:3  -0.02837111182  0.06219073407   -0.4562              0.648250
sd.soc             0.09994166256  0.00024140374  414.0021 < 0.00000000000000022 ***
sd.man             0.09956856967  0.00208219538   47.8190 < 0.00000000000000022 ***
sd.inc             0.09998613851  0.00001984986 5037.1208 < 0.00000000000000022 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Log-Likelihood: -20771