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Count data modelling of health insurance and health care utilisation in Nigeria

Author

Listed:
  • Olayiwola Saheed O.

    (Department of Economics, Federal University of Technology, Akure)

  • Kazeem Bayo L.O.

    (Department of Business Administration, Elizade University, Ilara-Mokin, Ondo State)

Abstract

Aim/purpose – Estimation of the model of interdependent demand for health insurance and health care utilisation involves issues of stochastic dependence between health insurance and health care utilisation. This study explored a count data estimation technique to determine the most appropriate estimation method for the interdependence of health insurance and health care demand in Nigeria. Design/methodology/approach – The study employed Hidayat and Pokhrel (2010) framework to choose among the six alternatives of two classes of count data model. The data for the study were collected using a purposive sampling survey in the six geopolitical zones in Nigeria. Findings – The results showed that the general method of moments (GMM) estimator is preferable to model the determinants of medical care consumption with health insurance. Price of health care services is positively related to medical care consumption with health insurance and social health insurance. The income-medical care relationship indicated that medical care services are inferior good under private health insurance and a normal good with social health insurance during sick period. Research implications/limitations – The implication of this study is that the estimation method that accommodates endogenous regressors is the appropriate estimation technique for the interdependence of health insurance and health care utilisation. The limitation of this study is that the recall period was just six months prior to the survey. Originality/value/contribution – The study revealed that the estimation techniques for the interdependence of health insurance and health care utilisation must recognised the influence of individual and household characteristics on the decision to purchase health insurance and health care consumption. Hence, diagnostics tests are require to choose the most appropriate estimation technique.

Suggested Citation

  • Olayiwola Saheed O. & Kazeem Bayo L.O., 2019. "Count data modelling of health insurance and health care utilisation in Nigeria," Journal of Economics and Management, Sciendo, vol. 35(1), pages 106-123, March.
    • Handle: RePEc:vrs:jecman:v:35:y:2019:i:1:p:106-123:n:1
    DOI: 10.22367/jem.2019.35.06
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    References listed on IDEAS

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    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. Çaatay Koç, 2005. "Health-Specific Moral Hazard Effects," Southern Economic Journal, John Wiley & Sons, vol. 72(1), pages 98-118, July.
    3. Bolhaar, Jonneke & Lindeboom, Maarten & van der Klaauw, Bas, 2012. "A dynamic analysis of the demand for health insurance and health care," European Economic Review, Elsevier, vol. 56(4), pages 669-690.
    4. Windmeijer, F A G & Silva, J M C Santos, 1997. "Endogeneity in Count Data Models: An Application to Demand for Health Care," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 281-294, May-June.
    5. Cutler, David M. & Zeckhauser, Richard J., 2000. "The anatomy of health insurance," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 11, pages 563-643, Elsevier.
    6. ., 1997. "Review of The Economics of David Ricardo, by Samuel Hollander," Chapters, in: Not Only an Economist, chapter 25, pages 344-349, Edward Elgar Publishing.
    7. ., 1997. "Review of The Rhetoric of Economics, by Donald N. McCloskey," Chapters, in: Not Only an Economist, chapter 31, pages 367-370, Edward Elgar Publishing.
    8. Hugh R. Waters, 1999. "Measuring the impact of health insurance with a correction for selection bias-a case study of Ecuador," Health Economics, John Wiley & Sons, Ltd., vol. 8(5), pages 473-483.
    9. A. C. Cameron & P. K. Trivedi & Frank Milne & J. Piggott, 1988. "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 55(1), pages 85-106.
    10. Adrian R Pagan & Anthony D Hall, 1983. "Diagnostic tests as residual analysis," Published Paper Series 1983-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
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    More about this item

    Keywords

    health insurance; health care utilisation; count data model;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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