Causal mediation analysis with Stata

Joerg Luedicke
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Joerg Luedicke: StataCorp

Italian Stata Users' Group Meetings 2024 from Stata Users Group

Abstract: Causal inference is an essential goal in many research areas and aims at identifying and quantifying causal effects. By decomposing causal effects into direct and indirect effects, causal mediation provides further insight into underlying mechanisms through which causal effects operate. This talk presents the basic theoretical framework for causal mediation analysis and discusses a variety of examples using Stata’s mediate command. Examples will include linear and generalized linear models using a variety of outcome and mediator variables as well as different types of treatments.

Date: 2024-05-09
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http://repec.org/isug2024/Italy24_Luedicke.pdf presentation materials (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:isug24:05

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