Accumulating birth histories across surveys for improved estimates of child mortality
- 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.
Author: | Laura SchmidtORCiD, Mahmoud ElkasabiORCiD |
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URN: | urn:nbn:de:hebis:30:3-695591 |
DOI: | https://doi.org/10.1007/s11113-022-09721-7 |
ISSN: | 1573-7829 |
Parent Title (English): | Population research and policy review |
Publisher: | Springer Science + Business Media B.V ; Elsevier Scientific Pub. Co |
Place of publication: | Dordrecht [u.a.] ; Amsterdam |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2022/05/21 |
Date of first Publication: | 2022/05/21 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2023/08/11 |
Tag: | Childhood mortality rates; Cumulating survey data; DHS surveys; MICS surveys; Under-5 mortality rate |
Volume: | 41 |
Issue: | 5 |
Page Number: | 33 |
First Page: | 2177 |
Last Page: | 2209 |
Note: | Open Access funding enabled and organized by Projekt DEAL. This research is partially carried out with support provided by the United States Agency for International Development (USAID) through The DHS Program. |
HeBIS-PPN: | 512610487 |
Institutes: | Wissenschaftliche Zentren und koordinierte Programme / House of Finance (HoF) |
Dewey Decimal Classification: | 3 Sozialwissenschaften / 30 Sozialwissenschaften, Soziologie / 300 Sozialwissenschaften |
Sammlungen: | Universitätspublikationen |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |