This question is somewhat of a continuation from an earlier posting: Using EM algorithm for record linking
I have two data sets of individual some of whom are in both but a prior it is not know which are and there are no identification id's that are common to both. What we know are the individual's first name, last name, birth year, and birth country. Since I still do not understand how to apply EM to link them, I am converting the name string to Soundex or NYSIIS and requiring exact matches. That is, linking individuals only if their NYSIIS-equivalent first names match, last names match, birth years match, and birth countries match, and this match is unique both within and across data sets.
Would it make sense to then assess the match quality by say computing the Jaro-Winkler of the names of the match pairs? So say a pair has names Jon Smith and Jonn Smith and NYSIIS(Jon) == NYSIIS(Jonn), does it make sense to compute Jaro-Winkler (Jon Smith, Jonn Smith)? And if so, should I weigh by the corresponding analyses by the Jaro-Winkler estimates?