Jones, Andrew Michael orcid.org/0000-0003-4114-1785 and Bijwaard, Govert (2019) An IPW estimator for mediation effects in hazard models: with an application to schooling, cognitive ability and mortality. Empirical Economics. pp. 129-175. ISSN 0377-7332
Abstract
Large differences in mortality rates across those with different levels of education are a well-established fact. Cognitive ability may be affected by education so that it becomes a mediating factor in the causal chain. In this paper, we estimate the impact of education on mortality using inverse-probability-weighted (IPW) estimators. We develop an IPW estimator to analyse the mediating effect in the context of survival models. Our estimates are based on administrative data, on men born between 1944 and 1947 who were examined for military service in the Netherlands between 1961 and 1965, linked to national death records. For these men, we distinguish four education levels and we make pairwise comparisons. The results show that levels of education have hardly any impact on the mortality rate. Using the mediation method, we only find a significant effect of education on mortality running through cognitive ability, for the lowest education group that amounts to a 15% reduction in the mortality rate. For the highest education group, we find a significant effect of education on mortality through other pathways of 12%.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2018. |
Keywords: | Education,Inverse probability weighting,Mediators,Mixed proportional hazard,Mortality |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) |
Depositing User: | Pure (York) |
Date Deposited: | 02 Mar 2018 15:10 |
Last Modified: | 08 Dec 2024 00:12 |
Published Version: | https://doi.org/10.1007/s00181-018-1432-9 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1007/s00181-018-1432-9 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:128120 |
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