Shrinking Large-Scale Population-Projection Models by Aggregation and Decomposition
- 1 August 1976
- journal article
- Published by SAGE Publications in Environment and Planning A: Economy and Space
- Vol. 8 (5) , 515-541
- https://doi.org/10.1068/a080515
Abstract
During the past two decades social scientists have come to model dynamic socioeconomic systems of growing size and complexity. Despite a heavy reliance on ever more sophisticated high-speed digital computers, however, computer capacity for handling such systems has not kept pace with the growing demands for more detailed information. Consequently, it is becoming ever more important to identify those aspects of a system which permit one to deal with parts of it independently from the rest or to treat relationships among particular subsystems as though they were independent of the relationships within those subsystems. These questions are, respectively, those of decomposition and aggregation, and their application toward ‘shrinking’ large-scale population projection models is the focus of this paper.Keywords
This publication has 6 references indexed in Scilit:
- Sparse Matrices and their ApplicationsPublished by Springer Nature ,1972
- ON PERFECT AGGREGATION IN THE MATRIX COHORT‐SURVIVAL MODEL OF INTERREGIONAL POPULATION GROWTH*Journal of Regional Science, 1969
- Near-Decomposability, Partition and Aggregation, and the Relevance of Stability DiscussionsInternational Economic Review, 1963
- Aggregation of Variables in Dynamic SystemsEconometrica, 1961
- Decomposition Principle for Linear ProgramsOperations Research, 1960
- The Aggregation Problem in Input-Output AnalysisEconometrica, 1959