Hi,
I was wondering if you would be able to help regarding imputation techniques in SAS.
Basically I am working on a project were we have to match survey data with other data on a match key.
The survey has around 33,000 people and we get a 95% match but we need to impute the 5 % missing. But in the 95% matched we are only interested in around 200 people who have a certain product( as an example, a home Insurance). But in total we need to have 500 people with a home insurance.
The objective is to find lookalike of the 200 (Home insurance customers) matched in the 5% unmatched so we get to 500 . Some have suggested hot decking technique but I would like to know if there is a better technique for this (in SAS).
Not sure if it makes sense , if not please let me know and I will clarify
Your help would be much appreciated.
Thank you
PROC SURVEYIMPUTE provides several imputation methods for handling missing values in survey data -- including some traditional hot-deck imputation methods and a fractional hot-deck method.
PROC SURVEYIMPUTE provides several imputation methods for handling missing values in survey data -- including some traditional hot-deck imputation methods and a fractional hot-deck method.
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