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Post-COVID inflation and monetary policy in Morocco: analysis using a Bayesian VAR model

Faïçal Lakhchen

African Journal of Economic and Management Studies, 2026, 1-22

Abstract: PurposeThis study investigates the key drivers of inflation in Morocco and assesses the effectiveness of post-COVID monetary policy interventions in managing inflationary dynamics.Design/methodology/approachThe analysis is based on a Bayesian Vector Autoregression (BVAR) model that captures the dynamic interactions between inflation, energy prices, GDP growth, exchange rate and policy rate. Structural shocks were identified using a recursive identification scheme.FindingsThe results indicate that energy prices and economic growth are the main drivers of inflationary pressures, jointly accounting for over 30% of the variance in inflation, while the exchange rate contributes approximately 6%. The inflation in Morocco shows strong persistence over the short term. The post-COVID monetary policy had limited immediate effects on inflation but played a crucial role in anchoring expectations and supporting medium-term price stability.Originality/valueThis study is among the first to apply a BVAR and a TVP-VAR framework to inflation dynamics in Morocco by incorporating newly constructed quarterly real GDP data. It provides novel empirical evidence on the relative importance of supply and demand shocks in a developing economy context, and highlights the structural constraints affecting the transmission of monetary policy in the post-pandemic period.

Keywords: Inflation drivers; Monetary policy; COVID-19; Morocco (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ajemsp:ajems-12-2024-0731

DOI: 10.1108/AJEMS-12-2024-0731

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