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State Dependence in Immunization and the Role of Discouraging Information

Author

Listed:
  • Kabir Dasgupta

    (Federal Reserve Board (Washington D.C., US))

  • Gail Pacheco

    (NZ Work Research Institute, Auckland University of Technology)

  • Alexander Plum

    (NZ Work Research Institute, Auckland University of Technology)

Abstract

Does having a child immunised at the prior schedule genuinely impact the likelihood of vaccinating the child at the following schedule? Using longitudinal data from Growing Up in New Zealand study, we apply a random-effects probit model that also controls for the initial immunisation status. We detect sizeable state dependence in immunisation, indicating that the likelihood of a child increases, on average, by 21 percentage points if the child was immunised at the previous schedule compared to if not. This effect is further exacerbated if the mother received antenatal discouraging information on immunisation.

Suggested Citation

  • Kabir Dasgupta & Gail Pacheco & Alexander Plum, 2022. "State Dependence in Immunization and the Role of Discouraging Information," Working Papers 2022-04, Auckland University of Technology, Department of Economics.
    • Handle: RePEc:aut:wpaper:202204
    as

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    References listed on IDEAS

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    More about this item

    Keywords

    State dependence; vaccination; random-effects; initial conditions problem;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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