Is the Price Cap for Gas Useful? Evidence from European Countries
Francesco Ravazzolo (Norwegian Business School and Free-University of Bozen-Bolzano); Luca Rossini (University of Milan and Fondazione Eni Enrico Mattei)
C11, C32, Q41, Q43
Bayesian time series, Forecasted error variance decomposition, Gas price cap, Impulse response function, Mixture representation
Since Russia’s invasion of Ukraine, many countries have pledged to end or restrict their oil and gas imports to curtail Moscow’s revenues and hinder its war effort. Thus, the European ministers agreed to trigger a cap on the gas price. To detect the importance of the price cap for gas, we provide a mixture representation for the gas price to detect the presence of outliers made by a truncated normal distribution and a uniform one. We focus our analysis on Germany and Italy, which are major Russian gas importers by exploiting the response of the different commodities to a gas shock through a Bayesian vector autoregressive (VAR) model. As a result, including a lower gas price cap smooths the impact of a gas shock on electricity prices, while not considering a price cap will increase exponentially this impact.
Citazione suggerita: F. Ravazzolo, L. Rossini, ‘Is the Price Cap for Gas Useful? Evidence from European Countries’, Nota di Lavoro 023.2033, Milano, Italy: Fondazione Eni Enrico Mattei