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

No abstract

This research aims to analyze the impact of fertile age couples (FEA), per capita expenditure and school participation rates (SPR) on family planning acceptors in districts /cities in Banten Province. This research uses secondary data during the periods of 2011-2017. The research methodology used in this study is panel data regression with FEM (Fixed Effect Model). The results of this research show that simultaneously, FEA, per capita expenditure and SPR have significant impact on family planning acceptors. Partially, FEA and per capita expenditure have significant positive impact on family planning acceptors. Meanwhile, SPR does not have a significant impact on family planning acceptors.