Datasets
In this section, you can find various datasets and related codebooks on Covid-19 measures and the nature of multilevel governance during the Covid-19 pandemic.
Summary
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This dataset is based on a survey which contains questions on citizens’ political trust in times of crisis, evaluative questions about the Covid-19 pandemic and more general questions that are the basis of the dataset. The survey contains a hypothetical scenario similar to Covid-19 which probes into citizens’ trust in different levels of government to take certain crisis measures. We opted for such scenario as it corresponds to real-world events during the 2020-2022 Covid-19 pandemic. The crisis responses sketched by the scenario can therefore also resonate with citizens.
The survey was fielded in June 2023 by the specialized survey company Bilendi in six EU member states – Austria, Belgium, France, Germany, the Netherlands and Spain – totaling 6000 respondents. Respondents were recruited through the large online panels of Bilendi. The dataset also contains a variable to weigh the data per country by age, gender and education (variable “weighing” in the dataset).
If you have questions regarding this data set, please contact Jakob Frateur.
This data set has been used to estimate the impact of fiscal decentralisation on the size of anti-covid measures implemented by the 31 countries studied by LEGITIMULT. It includes statistical information on the intensity of the economic measures implemented by each country and all the potential explanatory factors of that measures: a) economic (GDP per capita, unemployment rate, poverty rate, self employed workers, share of tourism sector over GDP, public debt); b) institutional (ideology of national governments, share of subnational expenditure, share of subnational resources, regional authority index and severity of the lockdown); c) health related (deceased due to Covid and Covid-19 cases). The data have been collected from the Oxford Covid-19 Government Response Tracker and Eurostat. If you have questions regarding this data set, please contact the leader of WP6: Economic Sustainability.
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