Do Poverty and Economic Inequality Matter for Neonatal Mortality? International Comparison of Macro-Level Deterministic Patterns of Early-Age Mortality
Filippo Temporin ()
Additional contact information
Filippo Temporin: Department of Social Policy, London School of Economics and Political Science
Statistica, 2019, vol. 79, issue 2, 157-179
Abstract:
While socioeconomic determinants of infant mortality have received substantial attention in the literature, determinants of neonatal and post-neonatal mortality have rarely been analysed and compared. By making use ofWorld Bank data, this country-level study aims to highlight different patterns of association of poverty and income inequality with mortality occurring in the neonatal and post-neonatal periods, controlling for other socioeconomic variables. Poverty is found to be the major determinant of both mortality outcomes, while economic inequality is not a predictor of early-age mortality. This is perhaps because this analysis considers only countries where many households may lack resources for an adequate living standard; in such a context, the absolute level of poverty, rather than its distribution, has an effect on infant health. Moreover, a non-monetary manifestation of poverty, namely access to clean water, is a predictor of both mortality outcomes, probably due to its association with water-borne diseases. By identifying the socioeconomic factors associated with early-age mortality, this study has implications for social policies designed to tackle neonatal and post-neonatal mortality and can partly explain the stagnation in neonatal mortality rates observed over the last decades.
Keywords: Neonatal mortality; Post-neonatal mortality; Poverty; Inequality (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
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:bot:rivsta:v:79:y:2019:i:2:p:157-179
Access Statistics for this article
Statistica is currently edited by Department of Statistics, University of Bologna
More articles in Statistica from Department of Statistics, University of Bologna Contact information at EDIRC.
Bibliographic data for series maintained by Giovanna Galatà ().