Hello,
I am regressing conservative party contact on the likelihood to vote conservative and using individual level panel data. I'm starting with pooled OLS and building up to individual fixed effects and time fixed effects. I am controlling for a bunch of socio demographic characteristics in each regression: my question is are some of these too similar to each other and therefore do I need to pick one, for example I have:
working status
income
household income
social grade
education level
I also control for:
country
constituency
does it matter that some of these controls are obviously very similar and likely correlated with each other? I understand some of them may be kind of useless my question is - is it a problem having them all in there?
I am regressing conservative party contact on the likelihood to vote conservative and using individual level panel data. I'm starting with pooled OLS and building up to individual fixed effects and time fixed effects. I am controlling for a bunch of socio demographic characteristics in each regression: my question is are some of these too similar to each other and therefore do I need to pick one, for example I have:
working status
income
household income
social grade
education level
I also control for:
country
constituency
does it matter that some of these controls are obviously very similar and likely correlated with each other? I understand some of them may be kind of useless my question is - is it a problem having them all in there?