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Explaining variations in government health expenditure: evidence from Canada

Author

Listed:
  • Livio Di Matteo

    (Lakehead University)

  • Fraser Summerfield

    (St Francis Xavier University)

Abstract

We examine factors affecting Canadian government health expenditure during 1968–2022. Our data provide evidence on expenditure decisions from 10 autonomous but similar healthcare systems operating under common standards and regulations. We show that expenditure-income elasticity as measured in the literature is sensitive to controls for the social determinants of health, rising from 0.23 to 0.35. We also extend the literature with novel results for total and for specific expenditure categories that have grown unevenly in recent decades finding higher elasticity for physician than for drug or hospital spending. Physician supply increases both hospital and physician expenditures. Mid-life population shares, often overlooked in the literature, explain changes in the rapidly growing drug expenditure category. Our relatively long time series allows us to illustrate the sensitivity of results to dynamic specifications, account for a structural break in 1996 and show that income elasticity has risen over time.

Suggested Citation

  • Livio Di Matteo & Fraser Summerfield, 2025. "Explaining variations in government health expenditure: evidence from Canada," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(6), pages 1041-1067, August.
  • Handle: RePEc:spr:eujhec:v:26:y:2025:i:6:d:10.1007_s10198-024-01735-6
    DOI: 10.1007/s10198-024-01735-6
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    Keywords

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    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I1 - Health, Education, and Welfare - - Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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