Displaying 1 result from an estimated 1 matches for "heshner".
2011 Jun 22
1
mlogit model that contains both individual-specific parameters and universal parameters
...beta is individual-specific (beta(i)), then I can divide the data set to many subsets, each of which corresponds to a particular individual i, and run this model for each subset to estimate alpha(i) and beta(i).
y ~ x1 + x2
This can be done just fine.
I have gone over tutorials by Train and by Heshner but I haven't found out how to solve this problem yet. Any suggestions are welcome. Thank you so much for your time!
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