Volatility of inflation and economic growth in Central America

 

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Autoři: Claros Cerrato, Francis Mayela, Cruz Torres, Cristian Andrés
Stav:Versión publicada
Datum vydání:2026
Popis:In this paper, the volatility of inflation and economic growth was analyzed for the five Central America countries, using a VARMA-GARCH model in a Bayesian context. For its estimation, the Hamiltonian Monte Carlo (HMC) method was used, assuming normal and Student-t shocks. The results show that uncertainty in inflation generates higher inflation in Guatemala, El Salvador, Nicaragua, and Costa Rica, which confirms Friedman's hypothesis (1977). Furthermore, it was found that, in all the economies analyzed, the volatility in production growth also influences its behavior, in line with the theory of precautionary savings. Likewise, in four countries, the volatility of economic growth affects inflation, a fact that supports the Phillips curve hypothesis. Finally, no evidence was found that inflation volatility influences economic growth.
Země:Portal de Revistas UCR
Instituce:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Jazyk:Español
OAI Identifier:oai:portal.revistas.ucr.ac.cr:article/11089
On-line přístup:https://revistas.ucr.ac.cr/index.php/reconomicas/article/view/11089
Klíčové slovo:Inflation
Economic growth
Volatility
VARMA-GARCH model
Bayesian statistics
Hamiltonian Monte Carlo
E23
E31
C11
C32
Inflación
Crecimiento económico
Volatilidad
Modelo VARMA-GARCH
Estadística bayesiana
Monte Carlo hamiltoniano