Using Record Linkage to improve matching rates of subject-generated ID-codes – A practical example from a panel study in schools
The paper uses data from the first three waves of the German study Health Behavior and Injuries in School Age (GUS) to demonstrate how a record linkage procedure can improve matching rates of subject-generated ID-codes (SGICs) in panel studies. This post-processing technique uses a fuzzy-string-merge to match IDs that do not fit perfectly but are very similar. Other time-constant variables in the dataset were used to verify the matches. With this technique, more than 5 percent of previously unmatched cases could be paired up.