I want to estimate a dynamic multinomial logit model to observe job mobility, i have 4 categories: 1. employed with low wage, 2 employed with high wage 3 unemployed and 4. No participing in labor face. The panel database is something like the following
Note: of course i have more explanatary variables
I know that the command to use in this type of estimates is gsem, I read the manual but I don“t quite understand how it works. For example ->
http://www.stata.com/stata-news/news29-2/xtmlogit/
here Rebbeca Pope mention something similar to what I am looking to do and how to use the gsem command, But I do not understand why the database that uses the example does not mention the variable time??
I would also like to know which tools have stata to analyze this type of models
Note: i work in stata 13
thanks and regards
id (individual identifier) | year | age | education (years of school) | status laboral |
1 | 78 | 29 | 7 | 1 |
1 | 79 | 30 | 7 | 2 |
1 | 80 | 31 | 7 | 1 |
2 | 79 | 45 | 10 | 1 |
.... | ... | .. | .. | .,, |
... | .. | .. | .. | ... |
I know that the command to use in this type of estimates is gsem, I read the manual but I don“t quite understand how it works. For example ->
http://www.stata.com/stata-news/news29-2/xtmlogit/
here Rebbeca Pope mention something similar to what I am looking to do and how to use the gsem command, But I do not understand why the database that uses the example does not mention the variable time??
I would also like to know which tools have stata to analyze this type of models
Note: i work in stata 13
thanks and regards
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