Estimating and Decomposing Conditional Average Treatment Effects: The Smoking Ban in England
Matthew Robson (),
Doran, T.; and
Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York
We develop a practical method for estimating and decomposing conditional average treatment effects using locally-weighted regressions. We illustrate with an application to the smoking ban in England using a regression discontinuity design, based on Health Survey for England data. We estimate average treatment effects conditional on socioeconomic status and decompose these effects by smoking location. Results show, the ban had no effect on the level of active smoking, but significantly reduced average exposure to second-hand smoke among non-smokers by 1.38 hours per week. Our method reveals a complex relationship between socioeconomic status and the effect on passive smoking. Decomposition analysis shows that these effects stem primarily from exposure reductions in pubs, but also from workplace exposure reductions for high socioeconomic status individuals.
Keywords: health inequality; equity; conditional average treatment effects; regression discontinuity; heterogeneity; smoking ban; lwcate (search for similar items in EconPapers)
JEL-codes: C14 C21 C87 D63 I14 I38 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm, nep-eur and nep-hea
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Persistent link: https://EconPapers.repec.org/RePEc:yor:hectdg:19/20
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