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The stability of the demand for money is important to maintain the value of therupiah. This stability is seen in terms of the amount of currency and the ability ofmoney to fulfill all transactions in a short time. The use of non-cash money canhelp speed up the processing of financial transactions, but on the one hand it canhave an impact on changes in the demand for currency, which in turn affects thestability of the money supply. For this reason, it is necessary to conduct researchon the impact of using non-cash money on the demand for currency in Indonesia.This study analyzes the impact of non-cash payments using cards (APMK) on thedemand for currency in Indonesia for the 2014-2017 period. The analytical toolsused in this study are Vector Autoregression (VAR) to determine causality,Impulse Response Function (IRF) and Variance Decomposition (VD). The resultsshowed that the increase in the use of card-based non-cash money had an impacton reducing the demand for money in Indonesia in the 2014-2017 period. Thenon-cash money shock has an impact on the shock of changes in the demand forcurrency.

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

The aim of this research is to identify the working mechanism of various channels particularly interestrates, credits (bank lending and balance sheet), assets channels, exchange rates, on period 2000:1-2011:4.This research use time series secondary data take from BI, BPS and IFS from many publications. Analysistechnique that used was properties of Granger Causality.The results of Granger causality test showed that the SBI had a one-way relationship with PUAB and DEP,while PUAB has no relationship to KIBK and IRSS variables have one-way relationship with KIBK. Grangercausality test results on the interest rate channels of all the variables have one-way relationship, except KRSSvariable has no relationship with DEP. Granger causality test results on asset price channel is no relationshipbetween IRSS and KRSS against IHSG . The results are in exchange rate channel two-way relationshipbetween PSB with NFA, and NTRMUA have two-way relationship with the CPI and NTRMUA have no causalrelationship with the PDBR.Keywords: Monetary transmission mechanism, interest rates channels, credits channels, exchange rateschannels, Granger Causality