Statistical matching is a technique used to combine data from different sources that do not share the same variables. This method allows researchers to create a more comprehensive dataset by aligning similar units from each source based on common characteristics. For example, data from surveys and administrative records can be matched to enhance analysis without needing to merge the datasets directly. This approach is particularly useful in fields like social sciences and health research, where obtaining complete datasets can be challenging. By using statistical matching, researchers can draw more accurate conclusions and insights while preserving the integrity of the original data sources.