Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/338987 
Year of Publication: 
2025
Series/Report no.: 
Working Paper No. 25.2025
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
Abstract: 
This paper introduces a novel Bayesian reverse unrestricted mixed-frequency model applied to a panel of nine European electricity markets. Our model analyzes the impact of daily fossil fuel prices and hourly renewable energy generation on hourly electricity prices, employing a hierarchical structure to capture cross-country interdependencies and idiosyncratic factors. The inclusion of random effects demonstrates that electricity market integration both mitigates and amplifies shocks. Our results highlight that while renewable energy sources consistently reduce electricity prices across all countries, gas prices remain a dominant driver of cross-country electricity price disparities and instability. This finding underscores the critical importance of energy diversification, above all on renewable energy sources, and coordinated fossil fuel supply strategies for bolstering European energy security.
Subjects: 
Dynamic panel model
Mixed-frequency
Bayesian time series
Electricity Prices
Renewable energy sources
Market Integration
JEL: 
C11
C32
C33
C55
Q40
Document Type: 
Working Paper

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