Working Paper: NBER ID: w24970
Authors: Kelly C. Bishop; Jonathan D. Ketcham; Nicolai V. Kuminoff
Abstract: We study whether long-term cumulative exposure to airborne small particulate matter (PM₂.₅) affects the probability that an individual receives a new diagnosis of Alzheimer’s disease or related dementias. We track the health, residential location, and PM₂.₅ exposures of Americans aged 65 and above from 2001 through 2013. The expansion of Clean Air Act regulations led to quasi-random variation in individuals’ subsequent exposures to PM₂.₅. We leverage these regulations to construct instrumental variables for individual-level decadal PM₂.₅ that we use within flexible probit models that also account for any potential sample selection based on survival. We find that a 1 μg/m3 increase in decadal PM₂.₅ increases the probability of a new dementia diagnosis by an average of 2.15 percentage points. All else equal, we find larger effects for women, older people, and people with more clinical risk factors for dementia. These effects persist below current regulatory thresholds.
Keywords: Air Pollution; Dementia; Causality; Public Health
JEL Codes: I18; Q53
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| PM exposures (D62) | dementia risk factors (demographics, clinical risk factors, neighborhood socioeconomic composition) (R20) |
| dementia risk factors (demographics, clinical risk factors, neighborhood socioeconomic composition) (R20) | probability of receiving a new dementia diagnosis (J14) |
| PM exposures (D62) | probability of receiving a new dementia diagnosis (J14) |
| Clean Air Act regulations (L98) | PM exposures (D62) |