Hi there,
I have an unbalanced panel dataset consisting of a large number of loans with their repayments observed over time.
The panel is definitely non-randomly unbalanced as loans drop out of the dataset after the time-period of full-repayment.
Can anyone suggest a way to correct the fixed and random effects models for this?
Many thanks.
David
I have an unbalanced panel dataset consisting of a large number of loans with their repayments observed over time.
The panel is definitely non-randomly unbalanced as loans drop out of the dataset after the time-period of full-repayment.
Can anyone suggest a way to correct the fixed and random effects models for this?
Many thanks.
David
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