Some (don’t) Like it Hot. Persistent High Temperatures Increase Depression and Anxiety
Alessandro Palma and
Giulia Martinelli ()
Additional contact information
Giulia Martinelli: Gran Sasso Science Institute
No 2024-02, Discussion Paper series in Regional Science & Economic Geography from Gran Sasso Science Institute, Social Sciences
Abstract:
We study the impacts of high temperatures on milder mental health outcomes using clinical administrative data from a National Health Service of England programme treating anxiety and depression. Leveraging monthly variation in temperatures at the English Clinical Commissioning Group level, we find robust evidence indicating that extremely hot temperatures, i.e. above 34℃, lead to an increase in the demand for mental health support, assessments, and treatments by approximately 10, 15 and 12 per cent, respectively. We also show that when temperature shocks are long-lasting and result in heat waves longer than ten days, the effects are particularly pronounced. These results are not affected by individuals’ adaptive response to similar heat stress experienced in the previous month or year. Our back-of-the-envelope calculation indicates that the monetary health costs associated with heat stress are substantial.
Keywords: mental health; temperatures; heatwaves; adaptation; health costs (search for similar items in EconPapers)
JEL-codes: I18 J28 J81 Q51 Q53 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2024-02, Revised 2024-10
New Economics Papers: this item is included in nep-env
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.gssi.it/images/discussion%20papers%20rseg/2024/DPRSEG_2024-02.pdf First version, 2020 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ahy:wpaper:wp46
Access Statistics for this paper
More papers in Discussion Paper series in Regional Science & Economic Geography from Gran Sasso Science Institute, Social Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Andrea Ascani ().