Regression-matrix Model and Its Application in Socio-economic Foresight

DOI

10.2991/icoeme-19.2019.29How to use a DOI?

Keywords

matrix predictor; autoregression models; multidimensionality; systemic balance; socio-economic foresight

Abstract

This paper proposes a regression-matrix model for predicting the socio-economic development of regional systems. The ability to build up such a model provides for the classification of indicators into groups depending on their socio-economic purpose. The structured data presentation has led to the pre-requisite for a graded construction of models that ensure a proactive balance of the dynamics at two levels: cluster-type and system-based. According to the assumption, group balance should ensure the consistency of the expected growth of each indicator with the group dynamics of the corresponding block. The systemic balance is provided by the introduction of group dynamics indicators in the form of principal components, in turn, the regression-matrix approach is applied.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Valery Davnis
AU  - Tatiana Pankova
AU  - Elizaveta Shulgina
PY  - 2019/06
DA  - 2019/06
TI  - Regression-matrix Model and Its Application in Socio-economic Foresight
BT  - Proceedings of the 2nd International Conference on Economy, Management and Entrepreneurship (ICOEME 2019)
PB  - Atlantis Press
SP  - 134
EP  - 140
SN  - 2352-5428
UR  - https://doi.org/10.2991/icoeme-19.2019.29
DO  - 10.2991/icoeme-19.2019.29
ID  - Davnis2019/06
ER  -