Hi everyone,
I have a survey (=18,327 obs) of the Dutch population with the weights to represent the entire population.
I have to run some regressions. Because of missing values when I merge different databases and other circumstances, my final database drops 1,937 obs. So, my final sample has 16,390 obs.
Now, I would like to still use the original weights. My idea is to check whether socio-demographic information (Age, income, gender and education) in the new sample (16,390) are the same as the previous one (18,327). How can I check it considering that the variables are both continous and categorical?
If I cannot do it, are there any other ways to still use the weights? If not, would it be a big problem to run my regressions without using them?
Thank you for your help!
I have a survey (=18,327 obs) of the Dutch population with the weights to represent the entire population.
I have to run some regressions. Because of missing values when I merge different databases and other circumstances, my final database drops 1,937 obs. So, my final sample has 16,390 obs.
Now, I would like to still use the original weights. My idea is to check whether socio-demographic information (Age, income, gender and education) in the new sample (16,390) are the same as the previous one (18,327). How can I check it considering that the variables are both continous and categorical?
If I cannot do it, are there any other ways to still use the weights? If not, would it be a big problem to run my regressions without using them?
Thank you for your help!