Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)

The Impact of Oil Price Shocks on Economic Policy Uncertainty of China: Evidence from Nonlinear Analysis

Authors
Yilei Wang
Corresponding Author
Yilei Wang
Available Online December 2019.
DOI
10.2991/ssmi-19.2019.79How to use a DOI?
Keywords
Global crude oil price; Economic policy uncertainty; Nonlinearity.
Abstract

In this paper, we aim to explore the impact of global crude oil price on the economic policy uncertainty (EPU) of China with methods of the hybrid wavelet artificial neural network model (WANN) and the threshold vector auto-regression model (TVAR).The results show that in China the significant negative effect exists under the medium oil price change regime in the short run, while it turns to be positive under the higher fluctuation regime. Moreover, In the long run, the significant effect occurs under the medium fluctuation regime and shows an inverted U shape.

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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Volume Title
Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2019
ISBN
978-94-6252-855-0
ISSN
2352-5398
DOI
10.2991/ssmi-19.2019.79How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Yilei Wang
PY  - 2019/12
DA  - 2019/12
TI  - The Impact of Oil Price Shocks on Economic Policy Uncertainty of China: Evidence from Nonlinear Analysis
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 319
EP  - 321
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.79
DO  - 10.2991/ssmi-19.2019.79
ID  - Wang2019/12
ER  -