Structural Decomposition of the Impact of World Oil Price Shock Economic Growth in Indonesia

The aim of this research is to determine the response of economic growth in Indonesia to shocks or variable shocks in world oil prices, gold prices, inflation, exchange rates, and interest rates. This research uses time series data for 12 years (2010- 2021) using the Vector Auto Regressive (VAR) method. The results show that based on the results of the Impulse Response Function (IRF) test, world oil price shocks responded positively to economic growth in the 2nd period, 5-6th period, and 9-10th period, while the response was negative in the 3rd-4th period and the 2nd period. 7th-8th. Gold price shocks were responded positively by economic growth in periods 3-4 and 7-8, while the response was negative in periods 2, 5-6, and 9-10. Inflation shocks were responded to positively by economic growth in periods 2, 4-5, and 8-9, while negative responses were in periods 3, 6-7, and 10. Exchange rate shocks were responded to positively by economic growth in periods 3- 4 and 7-8, while the response was negative in the 2, 5-6, and 9-10 periods. Interest rate shocks responded positively to economic growth in periods 2, 5-6, and 9, while negative responses in periods 3-4, 7-8, and 10. Based on the results of the Variance Decomposition test, oil prices contributed 4,886%, gold contributed 5,545%, inflation contributed 0.306%, interest rates contributed 1,197%, and the exchange rate was the variable that contributed the most, namely 6,396%.

Authors

Institutions

Publication Details

Journal
Journal of International Conference Proceedings
Published
2025-02-01
DOI
https://doi.org/10.32535/jicp.v7i4.3648
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Decomposition of the Impact of World Oil Price Shock Economic Growth in Indonesia

Fahmi Aziz
Journal of International Conference Proceedings
Management and Optimization Techniques
article

Structural Decomposition of the Impact of World Oil Price Shock Economic Growth in Indonesia

Fahmi Aziz
article en

Abstract

The aim of this research is to determine the response of economic growth in Indonesia to shocks or variable shocks in world oil prices, gold prices, inflation, exchange rates, and interest rates. This research uses time series data for 12 years (2010- 2021) using the Vector Auto Regressive (VAR) method. The results show that based on the results of the Impulse Response Function (IRF) test, world oil price shocks responded positively to economic growth in the 2nd period, 5-6th period, and 9-10th period, while the response was negative in the 3rd-4th period and the 2nd period. 7th-8th. Gold price shocks were responded positively by economic growth in periods 3-4 and 7-8, while the response was negative in periods 2, 5-6, and 9-10. Inflation shocks were responded to positively by economic growth in periods 2, 4-5, and 8-9, while negative responses were in periods 3, 6-7, and 10. Exchange rate shocks were responded to positively by economic growth in periods 3- 4 and 7-8, while the response was negative in the 2, 5-6, and 9-10 periods. Interest rate shocks responded positively to economic growth in periods 2, 5-6, and 9, while negative responses in periods 3-4, 7-8, and 10. Based on the results of the Variance Decomposition test, oil prices contributed 4,886%, gold contributed 5,545%, inflation contributed 0.306%, interest rates contributed 1,197%, and the exchange rate was the variable that contributed the most, namely 6,396%.

Journal of International Conference ProceedingsVol. 7(4)
Universitas Pembangunan Nasional Veteran Yogyakarta (ID)
Decent work and economic growth
Openalex Percentile: Top 96%
Management and Optimization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.