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Income and health insurance effects on modern health-seeking behaviours in rural Ghana: nature and extent of bias involved

Author

Listed:
  • Samuel Sekyi
  • Philip Kofi Adom
  • Emmanuel Agyapong Wiafe

Abstract

Purpose - This study examined the influence of income and health insurance on the health-seeking behaviour of rural residents, addressing the concerns of endogeneity and heterogeneity bias. Design/methodology/approach - A two-stage residual inclusion was utilised to correct self-selection-based endogeneity problems arising from health insurance membership. Findings - This study provides support for Andersen's behavioural model (ABM). Income and health insurance positively stimulate rural residents' use of modern healthcare services, but the effect of insurance risks a downward bias if treated as exogenous. Further, the effect of health insurance differs between males and females and between adults and the elderly. Originality/value - This study advances the literature, arguing that, within the ABM framework, enabling (i.e. income and insurance) and predisposing factors (i.e. age and gender) complement each other in explaining rural residents' use of modern health services. Peer review - The peer review history for this article is available at:https://publons.com/publon/10.1108/IJSE-03-2023-0223

Suggested Citation

  • Samuel Sekyi & Philip Kofi Adom & Emmanuel Agyapong Wiafe, 2023. "Income and health insurance effects on modern health-seeking behaviours in rural Ghana: nature and extent of bias involved," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 51(6), pages 800-818, October.
  • Handle: RePEc:eme:ijsepp:ijse-03-2023-0223
    DOI: 10.1108/IJSE-03-2023-0223
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    More about this item

    Keywords

    Health-seeking behaviours; Heterogeneity; Ghana; Income; National health insurance scheme; Two-stage residual inclusion; C21; C31; I12; I13;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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