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Whose Inflation Is It Anyway? Inflation Spillovers Between the Euro Area and Small Open Economies

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  • Aleksandra Hałka
  • Karol Szafranek

Abstract

For the last two years, inflation has been steadily falling across the countries of the European Union, generating mounting deflationary pressures. Recent studies suggest that apart from the global determinants influencing broad inflation measures (e.g., plummeting commodity prices), core inflation components are subject to the rising influence of globalization. Our analysis focuses on two aspects: the percentage of Harmonised Index of Consumer Prices (HICP) components affected by deflation, and the spillovers of headline, core, non-energy goods and services inflation between the euro area and selected small open economies. In order to address the issue of inflation broadness, we calculate the percentages of HICP components whose annual growth rates fall into certain ranges and introduce a simple measure, the discrepancy index, to show the relative strength of deflationary and inflationary groups. To address the problem of quantifying inflation spillovers across the selected economies, we use the Diebold and Yilmaz spillover indices. The results indicate that the share of deflationary groups for most countries has been consistently rising since 2010, with the discrepancy index approximating its all-time lows in the fourth quarter of 2014. Simultaneously we show that the spillover index for non-energy industrial goods and services inflation has recently risen considerably, with the measure for headline inflation remaining elevated and the one for core inflation dropping. The euro area remains a net inflation transmitter in most cases.

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  • Aleksandra Hałka & Karol Szafranek, 2016. "Whose Inflation Is It Anyway? Inflation Spillovers Between the Euro Area and Small Open Economies," Eastern European Economics, Taylor & Francis Journals, vol. 54(2), pages 109-132, March.
  • Handle: RePEc:mes:eaeuec:v:54:y:2016:i:2:p:109-132
    DOI: 10.1080/00128775.2015.1126788
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    Citations

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    Cited by:

    1. Szafranek, Karol, 2017. "Flattening of the New Keynesian Phillips curve: Evidence for an emerging, small open economy," Economic Modelling, Elsevier, vol. 63(C), pages 334-348.
    2. Yang, Tianle & Dong, Qingyuan & Du, Min & Du, Qunyang, 2023. "Geopolitical risks, oil price shocks and inflation: Evidence from a TVP–SV–VAR approach," Energy Economics, Elsevier, vol. 127(PB).
    3. Karol Szafranek & Aleksandra Hałka, 2019. "Determinants of Low Inflation in an Emerging, Small Open Economy through the Lens of Aggregated and Disaggregated Approach," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(13), pages 3094-3111, October.
    4. Mazumder, Sandeep, 2018. "Inflation in Europe after the Great Recession," Economic Modelling, Elsevier, vol. 71(C), pages 202-213.
    5. Cepni, Oguzhan & Clements, Michael P., 2024. "How local is the local inflation factor? Evidence from emerging European countries," International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
    6. Filip Premik & Ewa Stanisławska, 2017. "The Impact of Inflation Expectations on Polish Consumers’ Spending and Saving," Eastern European Economics, Taylor & Francis Journals, vol. 55(1), pages 3-28, January.
    7. Sara Serra & João Quelhas, 2023. "The inflation process in Portugal: the role of price spillovers," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    8. Paweł Gajewski, 2017. "Sources of Regional Inflation in Poland," Eastern European Economics, Taylor & Francis Journals, vol. 55(3), pages 261-276, May.
    9. Papież, Monika & Rubaszek, Michał & Szafranek, Karol & Śmiech, Sławomir, 2022. "Are European natural gas markets connected? A time-varying spillovers analysis," Resources Policy, Elsevier, vol. 79(C).
    10. Gregor Bäurle & Matthias Gubler & Diego R. Känzig, 2021. "International Inflation Spillovers: The Role of Different Shocks," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 191-230, March.

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    More about this item

    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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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