Automatically Estimating and Updating Input-Output Tables

Abstract

This paper presents an integrated intelligent system being capable of automatically estimating and updating large-size input-output tables. The system in this paper consists of a series of components with the purposes of data retrieval, data integration, data analysis, and quality checking. This unique system is able to interpret and follow users’ XML-based query scripts, retrieve data from various sources and integrate them for the following data analysis components. The data analysis component is based on a unique modelling algorithm which constructs the matrix from the historical data and the spatial data simultaneously. This unique data analysis algorithm runs over the parallel computer to enable the system to estimate a large-size matrix. The result demonstrates the acceptable accuracy by comparing a part of the multipliers with the corresponding multipliers calculated by the matrix constructed by the surveys.