  Statistical matching aims to integrate two statistical sources. These sources
can be two samples or a sample and the entire population. If two samples have
been selected from the same population and information has been collected on
different variables of interest, then it is interesting to match the two
surveys to analyse, for example, contingency tables or covariances. In this
paper, we propose an efficient method for matching two samples that may each
contain a weighting scheme. The method matches the records of the two sources.
Several variants are proposed in order to create a directly usable file
integrating data from both information sources.
