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India's Universal Immunization Program: a lesson from Machine Learning

Author

Listed:
  • Dweepobotee Brahma

    (Western Michigan University)

  • Debasri Mukherjee

    (Western Michigan University)

Abstract

This paper examines the predictors of immunization coverages of children across Indian states and evaluates the role of Universal Immunization Program (UIP) - a comprehensive policy of the Indian government in that light. Employing Machine Learning methods such as LASSO and hierarchical LASSO, we find that not the UIP expenditure by itself, but health infrastructure turns out to be a robust predictor of immunization coverage. The policy prescription that follows from our study is that the immunization program should focus on promoting the required health infrastructure in addition to monitoring the usage of funds closely for facilitating effective usage of the money. We also scrutinize performances of ‘BIMARU', states that are considered traditionally underperforming states in terms of health and education.

Suggested Citation

  • Dweepobotee Brahma & Debasri Mukherjee, 2019. "India's Universal Immunization Program: a lesson from Machine Learning," Economics Bulletin, AccessEcon, vol. 39(1), pages 581-591.
    • Handle: RePEc:ebl:ecbull:eb-18-00256
    as

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    References listed on IDEAS

    as
    1. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    2. Sumon Kumar Bhaumik & Ralitza Dimova & Subal C. Kumbhakar & Kai Sun, 2018. "Is Tinkering with Institutional Quality a Panacea for Firm Performance? Insights from a Semiparametric Approach to Modeling Firm Performance," Review of Development Economics, Wiley Blackwell, vol. 22(1), pages 1-22, February.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Immunization in India; Machine Learning; variable selection and shrinkage; LASSO;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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