statistical matching

Statistical matching is a method used to combine information from two different datasets that share some common variables, but each dataset contains different pieces of information. For example, one dataset might have income data, while another has health data. By matching individuals with similar characteristics (like age or education) across both datasets, statisticians can create a new, enriched dataset that includes all relevant information. This allows for more comprehensive analysis without needing to collect all data in a single survey, helping researchers make better-informed decisions in areas like policy and market research.