RT Journal Article
T1 The determinants of inflation volatility: a panel data analysis for US-product categories.
A1 Arespa-Castelló, Marta
A1 González-Alegre, Juan
K1 Precios
K1 Macroeconomía
K1 Inflación
AB 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.
PB Taylor & Francis Group
YR 2022
FD 2022-02-20
LK https://hdl.handle.net/10630/28671
UL https://hdl.handle.net/10630/28671
LA eng
NO 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
NO Spanish Ministry of Science, Innovation and Universities through grants PGC2018-094364-B-100 and RTI2018-097434-B-I00 , MCIU/AEI/ FEDER, UE. Junta de Andalucía through grant B-SEJ-544-UGR20 from the Programa Operativo FEDER de Andalucía 2014-2020.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026