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Heterogeneity in the Persistence of Health: Evidence from a Monthly Micro Panel

Author

Listed:
  • Stephen Hoskins

    (Singapore Management University, ROSA)

  • David W. Johnston

    (Monash University)

  • Johannes S. Kunz

    (Monash University)

  • Michael A. Shields

    (Monash University)

  • Kevin E. Staub

    (University of Melbourne)

Abstract

Despite being widely used in health economics, dynamic models of health and healthcare typically assume that the persistence in these outcomes is the same for every individual. Understanding the extent and drivers of heterogeneity in persistence is essential for the design and evaluation of health interventions because persistence determines the dynamics and overall long-run effects of such interventions. This paper explores individual-level heterogeneity in the persistence of health outcomes. Using simple regression methods that do not place any restriction on the distribution of the heterogeneity in persistence, the paper documents substantial heterogeneity in health, medical expenditures, and healthcare use. We show that neglecting this heterogeneity leads to estimates that overstate the average persistence and can bias the coefficients of covariates. We find that between 75% and 87% of individuals display persistence and that this persistence is related to the individuals’ personality and socio-economic characteristics.

Suggested Citation

  • Stephen Hoskins & David W. Johnston & Johannes S. Kunz & Michael A. Shields & Kevin E. Staub, 2024. "Heterogeneity in the Persistence of Health: Evidence from a Monthly Micro Panel," Papers 2024-06, Centre for Health Economics, Monash University.
    • Handle: RePEc:mhe:chemon:2024-06
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    More about this item

    Keywords

    self-reported health; healthcare utilisation; dynamic panel data; state dependence; heterogeneity;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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