Abstract

We use state-of-the-art, satellite-based PM2.5 estimates to assess the extent to which the EPA's existing, monitor-based measurements over- or under-estimate true exposure to PM2.5 pollution. Treating satellite-based estimates as truth implies a substantial number of policy errors—over-regulating areas that comply with air quality standards and under-regulating other areas that appear to violate standards. We investigate the health implications of these apparent and highlight the importance of accounting for prediction error in satellite-based estimates. Uncertainty in policy errors increases substantially when we account for these underlying prediction errors.

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