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,...

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,...

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking after...

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking under the...

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking under the...

Covariate benchmarking is an important part of sensitivity analysis about omitted variable bias and can be used to bound the strength of the unobserved confounder using information and judgments about observed covariates. It is common to carry out formal covariate benchmarking after...