I am leaning base SAS. I am modelling a logistic regression for credit cards and one of the variable has been given as the Monthly income for the people which has the value of NA as well. What should I do to treat them because their other demographic data is important and the total NA is 20% in monthly income.
If you don't want to drop those records, your best bet is probably to impute income data.
You could assign those with missing income the median or modal income. You could create a second model to estimate income based on the demographic factors you do have,
I would think that would be a valid approach. I personally don't know how to do that, but as I understand things some sort of model, like a regression, would work.
I would think one thing you would want to be careful about is drawing income conclusions based on data with a 20 percent imputation rate.
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