Examining the Friedman Hypothesis in the Case of Food Inflation: Evidence from Sri Lankan Economy

Selliah Sivarajasingham

Sri Lankan Journal of Agricultural Economics2018https://doi.org/10.4038/sjae.v19i2.4649article
ABDC C
Weight
0.26

What the paper says

The relationship between inflation rate and inflation volatility has attracted more attention by theoretical and empirical macroeconomists. Empirical studies on the relationship between food inflation and food inflation variability is scarce in the literature. This study examines the intertemporal dynamic linkages between food price inflation and its volatility in the context of Sri Lanka. The empirical evidence derived from the monthly data for the period from 2003M1 to 2017M12 for Sri Lanka. Food price inflation is defined as log difference of food price series. The volatility of a food price inflation is measured by conditional variance generated by the FIGARCH model. Granger causality tests show that food inflation seems to exert positive impact on inflation variability. Hence, the findings of the study supports the Friedman hypothesis in both cases of consumer food price inflation and wholesale food price inflation. This implies that past information on food inflation can help improve the one-step-ahead prediction of food inflation variability but not vice versa. Our results have some important policy implications for the design of monetary policy, thereby promoting macroeconomic stability.

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https://doi.org/https://doi.org/10.4038/sjae.v19i2.4649

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@article{selliah2018,
  title        = {{Examining the Friedman Hypothesis in the Case of Food Inflation: Evidence from Sri Lankan Economy}},
  author       = {Selliah Sivarajasingham},
  journal      = {Sri Lankan Journal of Agricultural Economics},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.4038/sjae.v19i2.4649},
}

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Evidence weight

0.26

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.