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CAUSAL INFERENCE ON THE IMPACT OF EXTREME AMBIENT TEMPERATURES ON POPULATION HEALTH
Last modified: 2023-06-20
Abstract
A potential outcome approach to causal inference is used to infer the average exposure-response curve describing the relationship between daily temperature and daily mortality in the city of San Sebastian (Spain) for the period 2010-2015. The analysis relies on the estimate of the generalized propensity score and specification of a model for potential outcomes. The impact of extreme temperatures on population health is also provided, in terms of attributable deaths.