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  4. Direct and indirect treatment effects: Causal chains and mediation analysis with instrumental variables
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Direct and indirect treatment effects: Causal chains and mediation analysis with instrumental variables

Type
working paper
Date Issued
2014
Author(s)
Frölich, Markus
;
Huber, Martin  
Abstract
This paper discusses the nonparametric identification of causal direct and indirect effects of a binary treatment based on instrumental variables. We identify the indirect effect, which operates through a mediator (i.e. intermediate variable) that is situated on the causal path between the treatment and the outcome, as well as the unmediated direct effect of the treatment using distinct instruments for the endogenous treatment and the endogenous mediator. We examine different settings to obtain nonparametric identification of (natural) direct and indirect as well as controlled direct effects for continuous and discrete mediators and continuous and discrete instruments. We illustrate our approach in two applications: to disentangle the effects (i) of education on health, which may be mediated by income, and (ii) of the Job Corps training program, which may affect earnings indirectly via working longer hours and directly via higher wages per hour.
Funding(s)
Identifying direct and indirect effects in economics  
Language
English
Keywords
direct effect
indirect effect
instrument
treatment effects.
HSG Classification
contribution to scientific community
HSG Profile Area
SEPS - Quantitative Economic Methods
Refereed
No
Publisher
SEPS
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/87693
Subject(s)

economics

Division(s)

SEW - Swiss Institute...

Eprints ID
232516
File(s)
Thumbnail Image
Name

dp8280.pdf

Size

393.94 KB

Format

Adobe PDF

Checksum (MD5)

1ca55464c67f0f44340c70146cd9b84f

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