WHICH VARIABLES PREDICT INDONESIA’s INFLATION?

Susan Sunila Sharma ()
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Susan Sunila Sharma: Deakin Business School

Bulletin of Monetary Economics and Banking, 2019, vol. 22, issue 1, 87-102

Abstract: We use an exhaustive list of Indonesia’s macroeconomic variables in a comparative analysis to determine which predictor variables are most important in forecasting Indonesia’s inflation rate. We use monthly time-series data for 30 macroeconomic variables. Using both in-sample and out-of-sample predictability evaluations, we report consistent evidence of inflation rate predictability using 11 out of 30 macroeconomic variables.

Keywords: Macroeconomic variables; Inflation; Time-series; Predictability (search for similar items in EconPapers)
JEL-codes: C5 E1 (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:idn:journl:v:22:y:2019:i:1e:p:87-102

DOI: 10.21098/bemp.v22i1.1038

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