Good morning all,
I'm working on a project related to the occupations that university graduates are likely to go into. I have a large data set (N in the hundreds of thousands) where the unit of analysis is an individual person. For each person, I have two categorical variables - a code representing the field of their university degree and a code representing their occupation. I'm looking for a statistically valid way to find out what fields of study and occupations "go together." In other words, what courses of study prepare people for which jobs?
So far, I've considered doing this with simple descriptive statistics... pull, say, the top 10 occupations for every subject area while ruling out occupations like cashiers, fast food workers, etc. But it would be great if there was some sort of more rigorous test that could be used for this. Perhaps one regression per occupation with tons of dummy variables representing each subject area? If a subject area dummy variable is statistically significant, then that subject area is connected with that occupation?
I'm open to any and all suggestions.