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Analisis Keterkaitan Harga Antar Kelompok Komoditas Pembentuk Inflasi Di Sumatera Barat

Author

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  • Gaffari Ramadhan

    (Bank Indonesia)

Abstract

This study analyzes the correlation and the interaction among commodity groups which determine the inflation rate in West Sumatera. Using the monthly data from January 2002 to December 2008, the estimation applies the Vector Error Correction Model (VECM) in order to analyze the dynamics of commodity prices in the model. The results show some groups have significant contributions in determining other group prices. We found that the volatility of Prepared Food, Drink, Cigarette, and Tobacco is affected by Food group, Transportation, Communication and Financial Services. All commodity group is mostly affected by its own movement, especially for the high regulated prices group; Water, Electricity, and Fuel group including Housing. This paper underlines that in controlling regional inflation, the partial effort by focusing only on the basket goods which gives the highest contribution to the regional inflation (i.e. foodstuff and prepared food) is not effective when the region faces high volatility in other basket goods (i.e. transportation). The price determining of basket goods is a simultaneous process, and controlling the regional inflation needs greater concern to all goods. The government intervention on the price setting is also one of the important parts in causing the volatility of the basket goods.

Suggested Citation

  • Gaffari Ramadhan, 2009. "Analisis Keterkaitan Harga Antar Kelompok Komoditas Pembentuk Inflasi Di Sumatera Barat," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 11(3), pages 1-42, January.
  • Handle: RePEc:idn:journl:v:11:y:2009:i:3:p:1-42
    DOI: https://doi.org/10.21098/bemp.v11i3.338
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    More about this item

    Keywords

    Consumer Price Index; regional inflation; vector error corection model; impulse response; variance decomposition;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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