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Determinants Of Health Care Expenditure In The United States: An Ardl Approach Focusing On Insurance Coverage

Author

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  • Patricia Hughes

    (Department of Economics, University of Saint Cloud State, St. Cloud, Minnesota, USA)

  • Mustafa Göktuğ Kaya

    (Department of Economics, University of Saint Cloud State, St. Cloud, Minnesota, USA)

Abstract

The rapid increase in health expenditure has become a major concern for both households and governments in the United States. This paper investigates the long-run dynamics of health care expenditure in the United States over the period 1991-2014 using the National Health Expenditure Data from the Centers for Medicare & Medicaid Services. We use an Auto Regressive Distributed Lag (ARDL) technique to estimate the long-run dynamics and short-run adjustment of health care expenditure to changes in government insurance enrollment, controlling for income, health, uninsured, and trend to account for technological changes. The results indicate that the instance and type of insurance affect per capita expenditure; in particular, increases in Medicaid enrollment lead to higher per capita expenditure levels relative to other insurance groups and uninsured, while increases in Medicare enrollment lead to lower per capita expenditure levels.

Suggested Citation

  • Patricia Hughes & Mustafa Göktuğ Kaya, 2022. "Determinants Of Health Care Expenditure In The United States: An Ardl Approach Focusing On Insurance Coverage," Ekonomski pregled, Hrvatsko društvo ekonomista (Croatian Society of Economists), vol. 73(4), pages 643-660.
    • Handle: RePEc:hde:epregl:v:73:y:2022:i:4:p:643-660
    DOI: 10.32910/ep.73.4.7
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    More about this item

    Keywords

    Health care expenditure; health insurance; Auto Regressive Distributed Lag;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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