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The impact of the Indonesian health card program: A matching estimator approach

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  • Johar, Meliyanni

Abstract

This study evaluates the effectiveness of a pro-poor nation-wide health card program, which provides free basic health care at public health facilities in Indonesia. To quantify the effect of the program, it departs from the traditional regression-based approach in the literature. It employs propensity score matching to reduce the selection bias due to non-random health card distribution. The setting of the program and the richness of the data set support this strategy in providing accurate estimates of the program's effect on its recipients. The results indicate that, in general, the health card program only has limited impact on the consumption of primary health care by its recipients. This finding suggests the presence of other factors counteracting the generous demand incentive.

Suggested Citation

  • Johar, Meliyanni, 2009. "The impact of the Indonesian health card program: A matching estimator approach," Journal of Health Economics, Elsevier, vol. 28(1), pages 35-53, January.
  • Handle: RePEc:eee:jhecon:v:28:y:2009:i:1:p:35-53
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    15. Pangaribowo, Evita Hanie, 2012. "Heterogenous Impact of ‘Rice for the Poor’ Program in Indonesia," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 134755, Agricultural Economics Society.
    16. Chu, Xueling & Chen, Qihui & Fang, Xiangming, 2013. "Can National Health Insurance Programs Improve Health Outcomes?—Re-Examining the Case of the New Cooperative Medical Scheme in Rural China," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150488, Agricultural and Applied Economics Association.
    17. Enami, Ali, 2016. "Determinants of Child Mortality in Africa: A Methodological Discussion," MPRA Paper 68671, University Library of Munich, Germany.
    18. 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.
    19. Riska Dwi Astuti & Rindang Nuri Isnaini Nugrohowati, 2022. "Impact evaluation of subsidized health insurance programs on utilization of healthcare facilities: evidence from Indonesia," International Journal of Health Economics and Management, Springer, vol. 22(3), pages 315-331, September.
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    Keywords

    Impact evaluation Health sector reform Indonesia;

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health

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