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Exploring the Determinants of Child Mortality in Nigeria: Insights from Multiple Econometric Techniques

Author

Listed:
  • Rasaki Stephen Dauda

    (Redeemer’s University)

  • Paulina Olufunke Adeniji

    (Redeemer’s University)

  • Olufemi Gbenga Onatunji

    (Redeemer’s University)

Abstract

Over the past several years, global infant and under-five mortality rates have decreased significantly, with advanced economies experiencing single-digit mortality rates. However, Nigeria continues to grapple with rising infant mortality rates, which remain the highest in sub-Saharan Africa. The present study offers new perspectives on the determinants of child mortality in a developing country, Nigeria, from 1980 to 2021. The study analyses the child mortality determinants by deploying different econometric strategies: autoregressive distributed lag (ARDL), fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS), and canonical cointegration regression (CCR) procedures. The empirical outcomes indicate that the increasing child mortality rate in Nigeria is driven by rising fertility rates among women. While improvements in educational attainment for females, immunization vaccines, nutrition, and economic growth are critical for reducing child mortality in Nigeria. The estimated outcomes of the ARDL technique were robust to the alternative estimation techniques employed in this study. This study offers important implications for policymakers in Nigeria regarding the design and formulation of sustainable universal health policies.

Suggested Citation

  • Rasaki Stephen Dauda & Paulina Olufunke Adeniji & Olufemi Gbenga Onatunji, 2024. "Exploring the Determinants of Child Mortality in Nigeria: Insights from Multiple Econometric Techniques," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(5), pages 2243-2260, October.
  • Handle: RePEc:spr:chinre:v:17:y:2024:i:5:d:10.1007_s12187-024-10159-w
    DOI: 10.1007/s12187-024-10159-w
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    References listed on IDEAS

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    1. Park, Joon Y, 1992. "Canonical Cointegrating Regressions," Econometrica, Econometric Society, vol. 60(1), pages 119-143, January.
    2. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    3. Joshua Kembo & Jeroen K Van Ginneken, 2009. "Determinants of infant and child mortality in Zimbabwe: Results of multivariate hazard analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 21(13), pages 367-384.
    4. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    5. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    6. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    7. Chi, Junwook, 2018. "Asymmetric effects of exchange rate and income changes on maritime freight flows between Japan and the US," Transport Policy, Elsevier, vol. 69(C), pages 158-169.
    8. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    9. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    10. McGuire, James W., 2006. "Basic health care provision and under-5 mortality: A Cross-National study of developing Countries," World Development, Elsevier, vol. 34(3), pages 405-425, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Infant Mortality; Under-five Mortality; Time Series Approaches; Nigeria;
    All these keywords.

    JEL classification:

    • I19 - Health, Education, and Welfare - - Health - - - Other
    • I29 - Health, Education, and Welfare - - Education - - - Other
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth

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