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Hi Angelica,
Just as you put it, the 20% looks so much to be done away with.
You may consider multiple imputation method on the income variable.
Hope this help.
Many thanks.

 
Kind regards.
 
Justice Moses K. Aheto
Doctoral Student (United Kingdom)
MSc Medical Statistics (United Kingdom)
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From: Angelica Neisa <[log in to unmask]>
To: [log in to unmask]
Sent: Friday, March 15, 2013 8:21 PM
Subject: Logistic regression with 20% missing data

Hello everybody,
I'm trying a logistic regression, but one of the variables (Monthly Income) have a missigness of 20%.  Remove 20% of the data looks to much for me and It is a important variable in the model. So, I'm trying to find a way to handle it, any suggestion?

Thanks for your answers,
Angelica
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