Arbeitspapier
Long-term Exposure to Ambient PM2.5 and Population Health: Evidence from Longitudinally-linked Census Data
Extensive evidence shows exposure to ambient PM2.5 is associated with a wide range of poor health outcomes. But few studies examine genuinely long-run pollution exposures in nationally representative data. This study does so, exploiting longitudinally-linked Census data for Northern Ireland, linked to annual average PM2.5 concentrations at the 1km grid-square level from 2002-2010, exploiting complete residential histories. We show strong unconditional associations between PM2.5 exposure, self-rated general health, disability, and all available (eleven) domain-specific health measures in the data. Associations with poor general health, chronic illness, breathing difficulties, mobility difficulties, and deafness are robust to extensive conditioning and to further analysis designed to examine sensitivity to unobserved confounders.
- Sprache
-
Englisch
- Erschienen in
-
Series: QBS Working Paper ; No. 2024/01
- Klassifikation
-
Wirtschaft
Health: General
Health: Government Policy; Regulation; Public Health
Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
- Thema
-
Long-term exposure to ambient air pollution
PM2.5
population health
linked Census data
neighbourhood fixed effects
Oster method for unobserved confounding
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Rowland, Neil
McVicar, Duncan
Vlachos, Stavros
Jahanshahi, Babak
McGovern, Mark E.
O’Reilly, Dermot
- Ereignis
-
Veröffentlichung
- (wer)
-
Queen's University Belfast, Queen's Business School
- (wo)
-
Belfast
- (wann)
-
2024
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:41 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Rowland, Neil
- McVicar, Duncan
- Vlachos, Stavros
- Jahanshahi, Babak
- McGovern, Mark E.
- O’Reilly, Dermot
- Queen's University Belfast, Queen's Business School
Entstanden
- 2024