DETEKSI FAKTOR PENYEBAB INFLASI DI PURWOKERTO

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Published: Apr 1, 2009
Keywords:
inflation, vector autoregressive model, total kredit perbankan, inflation modeling

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Rahmat Priyono
Fakultas Ekonomi Universitas Jenderal Soedirman Purwokerto
Endang Setiasih
Fakultas Ekonomi Universitas Jenderal Soedirman Purwokerto

Abstract

Generally inflation constitute more a problem than a solution because its impact to all economic conditions. Inflation phenomena in Purwokerto is necessary to research. Inflation In this region is more unstable than other cities. December 2008, even other cities had defla­tion situation, positive inflation occurred in Purwokerto. Inflation modeling by Vector Auto­regressive Model (VAR), it is find out money  supply (M1), consumption interest rate, de­posit interest rate, Rupiah/US dollar exchange rate, consumers trust index, and oil price have significant impact to inflation rate. Best model is produced by 1st to 6th lag auto regression factors. It means relatively the current inflation was effected by 1st – 6th months before. Other result, money supply with proxy by cash flow from banking sector to rill sector has positive impact to inflation. Interest rates, by means consumption interest rate and deposit interest rate, have negative impact. Total credit from Banyumas banking has negative effect. Increas­ing of Rupiah currency to US dollar has positive impact. While consumers trust of Pur­wokerto resident has negative impact to inflation. Last, price oil increasing has positive infla­tion effect directly.

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How to Cite
Priyono, R., & Setiasih, E. (2009). DETEKSI FAKTOR PENYEBAB INFLASI DI PURWOKERTO. Jurnal Ekonomi &Amp; Studi Pembangunan, 10(1), 65–76. Retrieved from https://journal.umy.ac.id/index.php/esp/article/view/1780
Issue
JESP Volume 10 Nomor 1, April 2009
Section
Articles

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References

Bank Indonesia, 2009, Inflation Targetting Framework, Jakarta: Bank Indonesia, www.bi.go.id

Badan Pusat Statistik, 2009, Berita Resmi Sta-tistik BPS Propinsi Jawa Tengah, berbagai nomor terbitan, Jateng: BPS. www.bps-jateng.go.id

Brodjonegoro, Bambang PS, 2008, Inflasi dan APBN, Warta, September 2008, www. pertamina.com

Browne, Frank and David Cronin, 2007, Commodity Prices, Money and Infla-tion, European Central bank Working Pa-per Series No. 738 / March 2007.

Cover, James and C. James Hueng, 2003, The Correlation Between Shocks to Output and Price Level: Evidence from Multi-variate GARCH Model, Southern Eco-nomic Journal.

Cover, James and Paul Pecorino, 2000, Opti-mal Monetary Policy and The Correla-tion between Prices and Output, Uni-versity of Alabama Department of Eco-nomics, Finance and Legal Studies Work-ing Paper, August, 1-15.

Doepke, Matthias and Martin Schneider, 2005, Aggregate Implications of Wealth Re-distribution: The case of Inflation, Unpub-lished Manuscript, UCLA and NYU

Galesi, Alessandro and Marco J. Lomabrdi, 2009, External Shocks and International Inflation Linkages, A Global VAR Analysis, Working Paper Series, No 1062, June 2009, European Central Bank

Gottschalk, Jan, Kadima Kalonji, and Ken Miyajima, 2008, Analyzing Determi-nants of Inflation When There Are Data Limitations: The Case of Sierra Leone, IMF Working Paper, WP/08/271

Hutabarat, Akhis R., 2000, Pengendalian Inflasi Melalui Inflation Targeting, Bank Indone-sia Direktorat Riset Ekonomi dan Kebi-jakan Moneter Bagian Studi Sektor Riil, Oktober.

Deteksi Faktor Penyebab Inflasi di Purwokerto (Rahmat P. dan Endang Setiasih) 73

Kenny, G., Aidan Meyler, and Terry Quinn, 1998, Bayesian VAR Models for Fore-casting Irish Inflation, Munich Personal RePEc Archive (MPRA) Paper, No. 11360, December 1998, posted 3 November 2008, Research and Publications De-partment, Central Bank of Ireland.

Martel, Sylvain, 2008, A Structural VAR Ap-proach to Core Inflation in Canada, Bank of Canada Discussion Paper, July 2008, Research Department Bank of Canada, Ottawa, Ontario, Canada

Minella, Andre, 2001, Monetary Policy and Inflation in Brazil (1975-2000): a VAR Estimation, Working Paper Series, No 33, November 2001, p.1-34, Research Department, Central Bank of Brazil

Svensson, Lars E.O., 1998, Monetary Policy and Inflation Targeting, NBER Reporter Winter 1997/98.