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Economic Inquiry
Article . 2020 . Peer-reviewed
License: CC BY
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Economic Inquiry
Article
License: CC BY
Data sources: UnpayWall
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EconStor
Article . 2020
License: CC BY
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EXTREME TEMPERATURE AND EXTREME VIOLENCE: EVIDENCE FROM RUSSIA

Authors: Vladimir Otrachshenko; Olga Popova; José Tavares;

EXTREME TEMPERATURE AND EXTREME VIOLENCE: EVIDENCE FROM RUSSIA

Abstract

We study the relationship between extreme temperatures and violent mortality, employing novel regional panel data from Russia. We find that extremely hot temperatures increase violent mortality, while extremely cold temperatures have no effect. The impact of hot temperature on violence is unequal across gender and age groups, rises noticeably during weekends, and leads to considerable social costs. Our findings also suggest that better job opportunities and lower vodka consumption may decrease this impact. The results underscore that economic policies need to target vulnerable population groups to mitigate the adverse impact of extreme temperatures. (JEL Q54, I14, K42)

Country
Russian Federation
Keywords

ddc:330

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    selected citations
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    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).
    35
    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 10%
    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!
35
Top 10%
Top 10%
Top 10%
Green
hybrid