Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/312325 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Journal:] Population Research and Policy Review [ISSN:] 1573-7829 [Volume:] 41 [Issue:] 5 [Publisher:] Springer Netherlands [Place:] Dordrecht [Year:] 2022 [Pages:] 2177-2209
Verlag: 
Springer Netherlands, Dordrecht
Zusammenfassung: 
Producing reliable estimates for childhood mortality rates is essential to monitor progress towards the United Nations Sustainable Development Goals (UN SDGs) and correctly evaluate policies designed to reduce childhood mortality rates. Different model-based approaches have been proposed to assess levels and trends in childhood mortality indicators. In this paper, we propose a design-based complement that accumulates birth histories across different household surveys to increase the precision of childhood mortality rates estimates. We accumulate birth histories across different cross-sectional Demographic Health Surveys/Multiple Cluster Indicator Surveys collected in Senegal and Malawi and estimate pooled childhood mortality rates based on calendar years. We show that accumulating birth histories smoothens fluctuations in time series for national and sub-national mortality rates, establishes more stable and reliable time trends, and results in estimated standard errors of the cumulated rates that are about 50–60% lower than their counterparts from separate surveys.
Schlagwörter: 
Childhood mortality rates
Under-5 mortality rate
Cumulating survey data
DHS surveys
MICS surveys
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