Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 181-199 |
| Number of pages | 19 |
| Journal | British Journal of Political Science |
| Volume | 52 |
| Issue number | 1 |
| Early online date | 21 Jan 2022 |
| DOIs | |
| Publication status | Published - Jan 2022 |
Funding
The authors acknowledge funding by the ERC project Political Conflict in Europe in the Shadow of the Great Recession (POLCON) (Project id: 338875). Previous versions of this article were presented at the 2018 annual SASE conference, the 2019 SPSA annual conference and Dreil\u00E4ndertagung, and at workshops at the European University Institute (EUI), Sciences Po Paris, and the Max Planck Institute for the Study of Societies, Cologne. We are very grateful for insightful comments that we received at each occasion, and we specifically thank Lukas Haffert, Thomas Sattler, Liisa Talving, four anonymous reviewers, and the editors of the BJPolS for excellent feedback. All remaining errors remain our own.
| Funders | Funder number |
|---|---|
| European Commission | |
| Max Planck Institute for the Study of Societies, Cologne | |
| European University Institute | |
| European Research Council | |
| Seventh Framework Programme | 338875 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 10 Reduced Inequalities
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- austerity
- fiscal consolidation
- economic voting
- time series analysis
- government popularity
- economic crisis
VU Research Profile
- Governance for Society
Fingerprint
Dive into the research topics of 'The effect of austerity packages on government popularity during the Great Recession'. Together they form a unique fingerprint.Datasets
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Replication Data for: The Effect of Austerity Packages on Government Popularity during the Great Recession
Wang, C. (Creator), Cambridge University Press, 5 Jan 2021
DOI: 10.7910/DVN/MDLQKC, https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/MDLQKC
Dataset / Software: Dataset
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