Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Robust Estimation of Credit Shocks in Peru during the COVID-19 Crisis

Pardo R.; Cortés D.; Soriano P. · Journal of Central Banking Theory and Practice (2026) · DOI: 10.2478/jcbtp-2026-0022

Resumen

The Covid-19 pandemic introduced an unprecedented disruption in macroeconomic activity while credit continued to expand in several economies due to large policy interventions aimed at preserving financial intermediation. In Peru, this episode represented a clear deviation from the historical relationship between credit growth and economic activity. This paper studies the transmission of credit supply and credit demand shocks using a Bayesian structural VAR estimated with monthly macro-financial data from 2010 to 2024. To account for the extreme volatility observed during the pandemic, the identification combines sign and zero restrictions with information from higher-order moments and heteroskedasticity. The results indicate that, conditional on the maintained identifying assumptions, credit supply shocks are associated with stronger responses of economic activity during and after the pandemic than in the pre-pandemic period, while credit demand shocks display weaker and less persistent responses. These findings suggest that credit conditions became a more important driver of macroeconomic fluctuations during episodes of heightened uncertainty, although the framework does not separately identify policy-induced credit shocks.