I'm studing the effect of working hours on self-reported health where health is scaled 0-10 and working hours is the difference between actual hours and preferred hours. Based on this I created two dummies for working more than prefered and one for working less than preferred. these two dummies is what I want to estimate on self-reported health. I will offcourse include age, gender, education etc as independent variables also. I will make groups of variables, age education etc.
To do this regression I will use polr in the MASS package.
But before or after running the regression what are those steps (if any) I sould code or consider according to econometric theories? For instance there is so much to do/think about when using OLS but I can't find any other about polr/ordered regression.
In other communities/forums it was suggested to use brant or anova test for ordered regression, so I will do that. But is this enough? I don't feel it's enough.
What about heteroskedasticity, endogeneity, robustness, causality? I'm very much in doubt about what to do.
Can you suggest any kind of paper, book etc. I can read according to the above?