Include independent variables with missing values
Posted: 25 Jan 2022, 15:14
Hi,
I am trying to find out how to handle missing data in the following case: I have some missing data (not at random) of a variable that significantly influences the choices in a model where I simply delete all the rows with a missing value. However, these observations are valuable and I would rahter not delete them.
Is there a way to include the variable (if available) and sort of ignore it if the value is missing? Could I apply the method for Joint estimation of multiple model components and treat the data as two sets of data, one with the information and one without?
Thanks,
Anna
I am trying to find out how to handle missing data in the following case: I have some missing data (not at random) of a variable that significantly influences the choices in a model where I simply delete all the rows with a missing value. However, these observations are valuable and I would rahter not delete them.
Is there a way to include the variable (if available) and sort of ignore it if the value is missing? Could I apply the method for Joint estimation of multiple model components and treat the data as two sets of data, one with the information and one without?
Thanks,
Anna