SURV699L

A single available data source is often not sufficient in order to carry out required statistical data analyses to make certain decisions. To avoid high costs of collecting new data in such cases, there is a growing need to combine multiple survey and/or administrative existing data sources using appropriate statistical techniques. In the first two-third of the course, we shall discuss various issues and methods in statistical data integration. In particular, we shall cover various methods available in statistical matching, a body of statistical techniques that use a few common variables in combining multiple data sources with no or negligible overlapping units.