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SSRN Electronic Journal
Article . 2014 . Peer-reviewed
Data sources: Crossref
Journal of Political Economy
Article . 2020 . Peer-reviewed
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SSRN Electronic Journal
Article . 2014 . Peer-reviewed
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Open Data LMU
Research . 2014
Data sources: Datacite
EconStor
Research . 2014
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EconStor
Research . 2014
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Political Booms, Financial Crises

Authors: Guillermo Ordonez; Christoph Trebesch; Helios Herrera;

Political Booms, Financial Crises

Abstract

We show that political booms, measured by the rise in governments’ popularity, predict financial crises above and beyond other better-known early warning indicators, such as credit booms. This predictive power, however, only holds in emerging economies. We show that governments in emerging economies are more concerned about their reputation and tend to ride the short-term popularity benefits of weak credit booms rather than implementing politically costly corrective policies that would help prevent potential crises. We provide evidence of the relevance of this reputation mechanism.

Country
Germany
Keywords

330, Welt, Political Popularity, N20, Kredit, Credit Booms; Reputation; Financial Crises; Political Popularity; Emerging Markets, Financial Crises, E58, E51, Reputation, N10, financial crises, emerging markets, ddc:330, H12, Finanzkrise, reputation, Regierung, political popularity, Schwellenländer, Frühwarnsystem, Neue politische Ökonomie, D82, Credit Booms, E44, Spekulationsblase, Credit Booms, Reputation, Financial Crises, Political Popularity, Emerging Markets, G01, credit booms, Emerging Markets, credit booms, reputation, financial crises, political popularity, emerging markets, jel: jel:D81, jel: jel:D82, jel: jel:E44, jel: jel:G01, jel: jel:N20, jel: jel:E51, jel: jel:E58, jel: jel:H12, jel: jel:N10

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    76
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
76
Top 1%
Top 10%
Top 10%
Green
bronze