ABSTRACT
Creating a reliable synthetic micropopulation data set at small area level is still challenging in the spatial microsimulation modeling approach to small area estimation. Although a range of methods are used to generate spatial microdata, none of these methods can consider the scenario of whole micropopulation at a small area level. As a result, a newly generated micropopulation data set from those approaches often leads to inaccurate data for many small areas, especially for small areas with a small-sized population. In addition, validating the outputs from a spatial microsimulation model built on such synthetic microdata is also difficult. Presently, there is no straightforward statistical or mathematically robust tool to deal with these sorts of problems.
