Model-based Recursive Partitioning to Estimate Unfair Health Inequalities in the United Kingdom Household Longitudinal Study
Paolo Brunori (),
Apostolos Davillas,
Andrew Jones and
Giovanna Scarchilli ()
Additional contact information
Paolo Brunori: London School of Economics , International Inequality Institute & University of Bari
Giovanna Scarchilli: University of Trento & University of Modena and Reggio Emilia
No 596, Working Papers from ECINEQ, Society for the Study of Economic Inequality
Abstract:
We measure unfair health inequality in the UK using a novel data-driven empirical approach. We explain health variability as the result of circumstances beyond individual control and health-related behaviours. We do this using model-based recursive partitioning, a supervised machine learning algorithm. Unlike usual tree-based algorithms, model-based recursive partitioning does identify social groups with different expected levels of health but also unveils the heterogeneity of the relationship linking behaviors and health outcomes across groups. The empirical application is conducted using the UK Household Longitudinal Study. We show that unfair inequality is a substantial fraction of the total explained health variability. This finding holds no matter which exact definition of fairness is adopted: using both the fairness gap and direct unfairness measures, each evaluated at different reference values for circumstances or effort.
Keywords: Health inequality; machine learning; UK Household Longitudinal Study (search for similar items in EconPapers)
JEL-codes: D63 I14 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2021-12
New Economics Papers: this item is included in nep-big, nep-cmp, nep-eur and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.ecineq.org/milano/WP/ECINEQ2021-596.pdf First version, 2021 (application/pdf)
Related works:
Journal Article: Model-based Recursive Partitioning to Estimate Unfair Health Inequalities in the United Kingdom Household Longitudinal Study (2022) 
Working Paper: Model-based recursive partitioning to estimate unfair health inequalities in the United Kingdom Household Longitudinal Study (2022) 
Working Paper: Model-based recursive partitioning to estimate unfair health inequalities in the United Kingdom Household Longitudinal Study (2022) 
Working Paper: Model-Based Recursive Partitioning to Estimate Unfair Health Inequalities in the United Kingdom Household Longitudinal Study (2021) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inq:inqwps:ecineq2021-596
Access Statistics for this paper
More papers in Working Papers from ECINEQ, Society for the Study of Economic Inequality Contact information at EDIRC.
Bibliographic data for series maintained by Maria Ana Lugo ( this e-mail address is bad, please contact ).