Dear community,
I conduct a research of how individual level and collective level economic indicators affect public attitudes towards immigration. To clarify, an example of hypothesis: while state suffers from economic downturn, perception of personal financial threat increases probability of negative attitudes.

My dataset is a survey conducted during European recession in seven countries.

My main DV is attitude towards immigration; IV: individual level - economic evaluation, satisfaction with the state of economy, income satisfaction; national level - gdp, taxation change, unemp. rate, unemp. rate change, etc.


I am concerned whether I should use OLS regression or probit regression. I have coded all DV and IV for both types of regressions and statistical results seems fine, however, I still not sure which type of regression to use.

Could you advise me, please?