The determinants of inflation volatility: a panel data analysis for US-product categories.

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Taylor & Francis Group

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Abstract

Some macroeconomic dimensions like the economic business cycle, the exchange rate move- ments when the degree of country openness is significant, or the level of inflation are often considered to explain measured-inflation dynamics. However, inflation volatility may also be affected by statistical agencies methodological changes. This paper explores both potential explanations in a panel data for 100 United States CPI-U subcategories. Using both unconditional and conditional variances, we find that crucial changes in how agencies consider quality adjust- ment in products, together with the macroeconomic variables help to understand CPI volatility over time, both in the short-run and in the long-run.

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Arespa, M. and González-Alegre, J. (2022), The determinants of inflation volatility: a panel data analysis for US-product categories. Applied Economics, vol. 54(35), pp. 4060-4083

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Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional