IJFAM
Article Details
Vol. 2 No. 4 (2021): March
Price analysis between commodity groups of inflation in Banten province from 2008 to 2018
25 Mar 2021
Abstract
Purpose: This study aimed to see how each commodity group's movement pattern that forms inflation between one commodity group and another, and to see any major linkages between groups of inflation-forming commodities in Banten Province.
Research methodology: The research is undergone by using the Vector Auto Regressive (VAR) model approach through testing of Impulse Response Function (IRF) and Variance Decomposition (VD).
Results: The results show that the inflation rate in the goods/services commodity groups in Banten Province have a dynamic relationship between one another. The group itself dominates inflationary movements in all commodity groups. Monthly time series data is used for 2008-2018 time spans.
Limitation: The linkages presented as the results are performed in commodity groups; thus, further research would inform more about inter-linkage between commodities.
Contribution: The insight of knowing the pattern is beneficial for implication policy in regional inflation targeting especially in Banten Province.
Keywords: Inflation, IRF, VAR, VD
Keywords
Inflation
IRF
VAR
VD
How to Cite
Herlina, D., & Romadhona, A. (2021). Price analysis between commodity groups of inflation in Banten province from 2008 to 2018. International Journal of Financial, Accounting, and Management, 2(4), 321–341. https://doi.org/10.35912/ijfam.v2i4.447
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