Predicting the Concurrent Relationships between GDP and GER Expansion in Japan and Korea by Using ARIMAX

DOI

10.2991/mmsta-19.2019.33How to use a DOI?

Keywords

ARIMAX; concurrent relationship; GDP; GER; higher education

Abstract

The return rates of investments in education have been estimated for a long time. The related advantaged linkage between extending higher education participation and economic growth has been spreading around the world. While the global expansion phenomena in higher education are not persistent to their economic growth as the policy makers expected. Curious the relationships between higher education expansion and economic growth, this study selected Japan and Korea as the research targets to determine their concurrent relationships. Based on the World Bank data set, the GER (gross entrance ratio) and GDP (gross domestic product) per capita in Japan and Korea were collected from 1971 to 2016. ARIMAX (multivariate autoregressive integrated moving average) was conducted to estimate the effect of concurrent relationships between GER and GDP per capital. Based on the fittest model, we predict the GER with GDP per capital for next decade. The result demonstrates that the GER and GDP per capital in Japan and Korea with positive correlation. Based on the trends, the predicted GER of higher education in Japan will increase, while Korea will decrease significantly in next decade.

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  - Tien-Li Chen
AU  - Dian-Fu Chang
PY  - 2019/12
DA  - 2019/12
TI  - Predicting the Concurrent Relationships between GDP and GER Expansion in Japan and Korea by Using ARIMAX
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 157
EP  - 160
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.33
DO  - 10.2991/mmsta-19.2019.33
ID  - Chen2019/12
ER  -