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The village midwife program and infant mortality in Indonesia

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  • Ranjan Shrestha

Abstract

Indonesia introduced over 50,000 midwives into villages in the 1990s to provide primary care to women lacking easy access to health facilities. It seems plausible to argue that the significant reduction in infant mortality that occurred from about 1993-94 was a consequence of this. The paper estimates the village midwife program's impact on infant mortality, using data from the Indonesia Family Life Survey. Regressing mortality outcomes against choice of services would lead to biased estimates because of the correlation between service choice and unobserved individual characteristics. Furthermore, non-random placement of midwives could bias estimates of their impact on infant mortality. This study overcomes such endogeneity problems by aggregating mortality outcomes and program prevalence at district level and taking account of district fixed effects in estimating the program's impact. Surprisingly, the results do not support the hypothesis that the midwife program was responsible for the observed decline in infant mortality.

Suggested Citation

  • Ranjan Shrestha, 2010. "The village midwife program and infant mortality in Indonesia," Bulletin of Indonesian Economic Studies, Taylor & Francis Journals, vol. 46(2), pages 193-211.
    • Handle: RePEc:taf:bindes:v:46:y:2010:i:2:p:193-211
    DOI: 10.1080/00074918.2010.486109
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    Cited by:

    1. Strupat, Christoph, 2014. "Does Timing of Health and Family Planning Services Matter? Age at First Birth and Educational Attainment in Indonesia," Ruhr Economic Papers 503, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. repec:zbw:rwirep:0503 is not listed on IDEAS
    3. Tareena Musaddiq, 2023. "The impact of community midwives on maternal healthcare utilization," Health Economics, John Wiley & Sons, Ltd., vol. 32(3), pages 697-714, March.
    4. Noemi Kreif & Andrew Mirelman & Rodrigo Moreno-Serra & Taufik Hidayat, & Karla DiazOrdaz & Marc Suhrcke, 2020. "Who benefits from health insurance? Uncovering heterogeneous policy impacts using causal machine learning," Working Papers 173cherp, Centre for Health Economics, University of York.
    5. Christoph Strupat, 2014. "Does Timing of Health and Family Planning Services Matter? Age at First Birth and Educational Attainment in Indonesia," Ruhr Economic Papers 0503, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

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