I want to get the average marginal effects (AME) of a multinomial logit model with standard errors. For this I've tried different methods, but they haven't led to the goal so far. Best attempt My b...

Some pre-programmed models automatically remove linear dependent variables in their regression output (e.g. lm()) in R. With the bife package, this does not seem to be possible. As stated in the pa...

I have been working hours on that and I simply cannot find any solution to the problem. Hopefully someone here can help. I'm trying to create a personal choice matrix for some data with the follow...

Both R functions, multinom (package nnet) and mlogit (package mlogit) can be used for multinomial logistic regression. But why this example returns different result of p values of coefficients? #p...

Long story short: I need to run a multinomial logit regression with both individual and time fixed effects in R. I thought I could use the packages mlogit and survival to this purpose, but I am c...

I am trying to build multinomial logit model using python and stata. My data is as follows: ses_type prog_type read write math prog ses 0 low Diploma 39.2 40.2 46.2 0 0 1 middle general 39.2 38....

I want to run a multinomial logit in R and have used two libraries, nnet and mlogit, which produce different results and report different types of statistics. My questions are: What is the source...

I received some good help getting my data formatted properly produce a multinomial logistic model with mlogit here (Formatting data for mlogit) However, I'm trying now to analyze the effects of c...

I am using the mlogit package in program R. I have converted my data from its original wide format to long format. Here is a sample of the converted data.frame which I refer to as 'long_perp'. All ...

I am having a murderous time getting my data set in shape for a multinomial logit analysis via mlogit. My data set is available from the url in the code below. I'm getting the following error: ...

I am doing multinomial logistic regression model for iris data set, library(VGAM) mlog1 <- vglm(Species ~ ., data=iris, family=multinomial()) coef(mlog1) and the coefficients are: (Intercep...

I have data from a discrete choice experiment (DCE), looking at hiring preferences for individuals from different sectors. that I've formatted into long format. I want to model using mlogit. I have...

I have question regarding the mnlogit package in R which I'll ask on StackOverflow as it's related to a specific language and library, however I won't be offended if someone decides to move it to C...

I discovered the mlogit-package for multinomial logit models in search of estimating a multinomial mixed logit model. After reading the excellent vignette I discovered that I could not apply my dat...