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

Abstract

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