IDEAS home Printed from https://ideas.repec.org/a/kap/poprpr/v41y2022i5d10.1007_s11113-022-09721-7.html
   My bibliography  Save this article

Accumulating Birth Histories Across Surveys for Improved Estimates of Child Mortality

Author

Listed:
  • Laura Schmidt

    (Goethe University)

  • Mahmoud Elkasabi

    (The DHS Program, ICF)

Abstract

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.

Suggested Citation

  • Laura Schmidt & Mahmoud Elkasabi, 2022. "Accumulating Birth Histories Across Surveys for Improved Estimates of Child Mortality," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(5), pages 2177-2209, October.
  • Handle: RePEc:kap:poprpr:v:41:y:2022:i:5:d:10.1007_s11113-022-09721-7
    DOI: 10.1007/s11113-022-09721-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11113-022-09721-7
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11113-022-09721-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mahmoud A. Elkasabi & Steven G. Heeringa & James M. Lepkowski, 2015. "Joint Calibration Estimator For Dual Frame Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 16(1), pages 7-36, March.
    2. Kenneth Hill & Yoonjoung Choi, 2006. "Neonatal mortality in the developing world," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 14(18), pages 429-452.
    3. Roy Burstein & Nathaniel J. Henry & Michael L. Collison & Laurie B. Marczak & Amber Sligar & Stefanie Watson & Neal Marquez & Mahdieh Abbasalizad-Farhangi & Masoumeh Abbasi & Foad Abd-Allah & Amir Abd, 2019. "Mapping 123 million neonatal, infant and child deaths between 2000 and 2017," Nature, Nature, vol. 574(7778), pages 353-358, October.
    4. Monica Alexander & Leontine Alkema, 2018. "Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(15), pages 335-372.
    5. Jon Pedersen & Jing Liu, 2012. "Child Mortality Estimation: Appropriate Time Periods for Child Mortality Estimates from Full Birth Histories," PLOS Medicine, Public Library of Science, vol. 9(8), pages 1-13, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hathi, Payal, 2022. "Population science implications of the inclusion of stillbirths in demographic estimates of child mortality," SocArXiv sz8n9, Center for Open Science.
    2. Herbert Susmann & Monica Alexander & Leontine Alkema, 2022. "Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Compar," International Statistical Review, International Statistical Institute, vol. 90(3), pages 437-467, December.
    3. Katherine Wilson & Jon Wakefield, 2022. "A probabilistic model for analyzing summary birth history data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(11), pages 291-344.
    4. Stephane Helleringer & Daniel Arhinful & Benjamin Abuaku & Michael Humes & Emily Wilson & Andrew Marsh & Adrienne Clermont & Robert E Black & Jennifer Bryce & Agbessi Amouzou, 2018. "Using community-based reporting of vital events to monitor child mortality: Lessons from rural Ghana," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-18, January.
    5. Jonathan Wakefield & Taylor Okonek & Jon Pedersen, 2020. "Small Area Estimation for Disease Prevalence Mapping," International Statistical Review, International Statistical Institute, vol. 88(2), pages 398-418, August.
    6. Barakat, Bilal Fouad & Dharamshi, Ameer & Alkema, Leontine & Antoninis, Manos, 2021. "Adjusted Bayesian Completion Rates (ABC) Estimation," SocArXiv at368, Center for Open Science.
    7. Muhammad Asif Wazir & Anne Goujon, 2019. "Assessing the 2017 Census of Pakistan Using Demographic Analysis: A Sub-National Perspective," VID Working Papers 1906, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    8. Katie Wilson & Jon Wakefield, 2021. "Child mortality estimation incorporating summary birth history data," Biometrics, The International Biometric Society, vol. 77(4), pages 1456-1466, December.
    9. Leonardo Piccione & Gianpiero Dalla Zuanna & Alessandra Minello, 2014. "Mortality selection in the first three months of life and survival in the following thirty-three months in rural Veneto (North-East Italy) from 1816 to 1835," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(39), pages 1199-1228.
    10. Ameer Dharamshi & Bilal Barakat & Leontine Alkema & Manos Antoninis, 2022. "A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1822-1864, November.
    11. Maroof Ahmad Khan & Sumit Kumar Das, 2024. "Revisiting Factors Influencing Under-Five Mortality in India: The Application of a Generalised Additive Cox Proportional Hazards Model," IJERPH, MDPI, vol. 21(10), pages 1-13, September.
    12. Michael Spagat, 2010. "Estimating the Human Costs of War: The Sample Survey Approach," HiCN Research Design Notes 14, Households in Conflict Network.
    13. Aalok Ranjan Chaurasia, 2023. "Human Development in Districts of India, 2019–2021," Indian Journal of Human Development, , vol. 17(2), pages 219-252, August.
    14. Anthopolos, Rebecca & Becker, Charles M., 2010. "Global Infant Mortality: Correcting for Undercounting," World Development, Elsevier, vol. 38(4), pages 467-481, April.
    15. Leontine Alkema & Jin Rou New & Jon Pedersen & Danzhen You & all members of the UN Inter-agency Group for Child Mortality Estimation and its Technical Advisory Group, 2014. "Child Mortality Estimation 2013: An Overview of Updates in Estimation Methods by the United Nations Inter-Agency Group for Child Mortality Estimation," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-13, July.
    16. Fatine Ezbakhe & Agustí Pérez Foguet, 2020. "Child mortality levels and trends: A new compositional approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(43), pages 1263-1296.
    17. Monica Alexander & Leontine Alkema, 2018. "Global estimation of neonatal mortality using a Bayesian hierarchical splines regression model," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(15), pages 335-372.
    18. Donela Besada & Kate Kerber & Natalie Leon & David Sanders & Emmanuelle Daviaud & Sarah Rohde & Jon Rohde & Wim van Damme & Mary Kinney & Samuel Manda & Nicholas P Oliphant & Fatima Hachimou & Adama O, 2016. "Niger’s Child Survival Success, Contributing Factors and Challenges to Sustainability: A Retrospective Analysis," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.
    19. Sundar Ponnusamy, 2022. "Rainfall shocks, child mortality, and water infrastructure," Health Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 1317-1338, July.
    20. Stéphane Helleringer & Li Liu & Yue Chu & Amabelia Rodrigues & Ane Barent Fisker, 2020. "Biases in Survey Estimates of Neonatal Mortality: Results From a Validation Study in Urban Areas of Guinea-Bissau," Demography, Springer;Population Association of America (PAA), vol. 57(5), pages 1705-1726, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:poprpr:v:41:y:2022:i:5:d:10.1007_s11113-022-09721-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.