A Theory for Record Linkage

Abstract A mathematical model is developed to provide a theoretical framework for a computer-oriented solution to the problem of recognizing those records in two files which represent identical persons, objects or events (said to be matched). A comparison is to be made between the recorded characteristics and values in two records (one from each file) and a decision made as to whether or not the members of the comparison-pair represent the same person or event, or whether there is insufficient evidence to justify either of these decisions at stipulated levels of error. These three decisions are referred to as link (A 1), a non-link (A 3), and a possible link (A 2). The first two decisions are called positive dispositions. The two types of error are defined as the error of the decision A 1 when the members of the comparison pair are in fact unmatched, and the error of the decision A 3 when the members of the comparison pair are, in fact matched. The probabilities of these errors are defined as and respectively where u(γ), m(γ) are the probabilities of realizing γ (a comparison vector whose components are the coded agreements and disagreements on each characteristic) for unmatched and matched record pairs respectively. The summation is over the whole comparison space r of possible realizations. A linkage rule assigns probabilities P(A 1|γ), and P(A 2|γ), and P(A 3|γ) to each possible realization of γ ε Γ. An optimal linkage rule L (μ, λ, Γ) is defined for each value of (μ, λ) as the rule that minimizes P(A 2) at those error levels. In other words, for fixed levels of error, the rule minimizes the probability of failing to make positive dispositions. A theorem describing the construction and properties of the optimal linkage rule and two corollaries to the theorem which make it a practical working tool are given.