Income Allocation to Workers in Synthetic Populations Using Basic Survey on Wage Structure

In this paper, we propose a synthetic reconstruction method (SR method) to allocate an income<br /> <br /> attribute to each worker in synthetic populations. A synthetic population is a population synthe-<br /> sized based on statistics. We assign an income attribute to each worker in individual households<br /> <br /> using statistics in Japan. In order to add that attribute, we first prepare a synthetic population of<br /> households with members synthesized by our previously proposed SR method. Then we assign job<br /> attributes such as a working status, a type of employment, a type of industry, and a size of enterprise<br /> according to four statistics using our SR method. After determining the working status, we assign<br /> job attributes besides the working status for each worker. We determine the monthly income of<br /> each worker based on his/her job attributes. To see the validity of allocated monthly income, we<br /> compare the average income of each type of industry in the synthesized population with the statistics<br /> of the average income of each type of industry that is not used in the synthesizing procedure. The<br /> result showed that the error over all industries becomes ?0.8% to 10.3% in allocating income to each<br /> worker in a synthesized population.