Hello community!
I am conducing a research on UK public attitudes towards immigration.
For my data I have combined 8 UK surveys conducted from 2002 to 2016.
The feature of this data is that it is not longitudinal and not time series due: each survey has different amount of respondents and each survey respondents sample is unique for each survey.

Thus, I have data on UK from 2002 to 2016 with unique respondents for each year.

My dataset has both individual and national indicators assigned for each respondent, and national indicators (like gdp rate) are same for specific year respondents group.

My question is that if it is scientifically acceptable to do OLS regression or logistic regression for combined dataset (taking into regression a large sample of combined respondents for each year) without separating regression results for each year?