Statistical matching is a technique used to integrate data from different sources by matching units that share similar characteristics, thereby enabling more comprehensive analysis without having complete datasets. It is particularly useful in situations where direct linking of datasets is not possible due to the absence of a common identifier, allowing researchers to make inferences about relationships between variables across datasets.