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Analyzing of consumer price index influence on inflation by multiple linear regression

Author

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  • Cogoljević, Dušan
  • Gavrilović, Milan
  • Roganović, Miloš
  • Matić, Ivana
  • Piljan, Ivan

Abstract

Inflation is one of the most important indicator for economy and markets. Inflation represents a rate of rising of general level of prices for goods and services in regard to the currency falls of purchasing power. Although there many investigation of inflation phenomenon there is still missing gap about the factors analyzing which have influence on inflation. In this paper is applied multiple regression analysis to determine how consumer price index, monetary aggregates, discount rate, exchange rate affect inflation.

Suggested Citation

  • Cogoljević, Dušan & Gavrilović, Milan & Roganović, Miloš & Matić, Ivana & Piljan, Ivan, 2018. "Analyzing of consumer price index influence on inflation by multiple linear regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 941-944.
    • Handle: RePEc:eee:phsmap:v:505:y:2018:i:c:p:941-944
    DOI: 10.1016/j.physa.2018.04.014
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    2. Wang, Xuerui & Li, Xiangyu & Li, Shaoting, 2022. "Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm," Applied Energy, Elsevier, vol. 328(C).
    3. Liu, Jiayue & Ye, Jimin & E, Jianwei, 2023. "A multi-scale forecasting model for CPI based on independent component analysis and non-linear autoregressive neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    4. Huijian Han & Zhiming Li & Zongwei Li, 2023. "Using Machine Learning Methods to Predict Consumer Confidence from Search Engine Data," Sustainability, MDPI, vol. 15(4), pages 1-12, February.
    5. Wang, Xiaoting & Hou, Siyuan & Shen, Jie, 2021. "Default clustering of the nonfinancial sector and systemic risk: Evidence from China," Economic Modelling, Elsevier, vol. 96(C), pages 196-208.

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