This dataset includes the data and code necessary to reproduce the results from the manuscript titled ‘Did COVID-19 really change our lifestyles? Evidence from transport energy consumption in Europe’. The dataset examines fuel consumption changes from 2020 to 2022 against the same month in 2019. It uses quantile regression to explore the relationship between fuel consumption and other factors, applies the Gradient Boosting Machines (GBM) algorithm to rank COVID-19 policy impacts on fuel consumption, and conducts a placebo analysis to confirm the parallel-trend assumption. It also considers the lasting effect of COVID-19 confinement policies and the influence of prices on fuel consumption through their elasticities.
R, 4.4.0