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A modeling approach to decomposing changes in health concentration curves

Author

Listed:
  • Khadija Bchi

    (Department of Economics, University of Ottawa, Canada)

  • Paul Makdissi

    (Department of Economics, University of Ottawa, Canada)

  • Myra Yazbeck

    (Department of Economics, University of Ottawa, Canada)

Abstract

This paper proposes a decomposition approach for health concentration curves. Decomposing changes in health concentration curves gives additional insight compared to decomposing a single index such as the health concentration index. First, the results would be valid for a comprehensive set of indices. Second, and more importantly, it allows for identifying heterogeneous effects along socioeconomic ranks. We use inverse propensity weighting for the overall decomposition. We use multiple recentered influence function regressions on a grid of points to identify the impact of specific covariates. We weight these regressions by the inverse propensity score of the observations to correct for errors due to departure from linearity. The paper also derives the expressions of the recentered influence functions of the relative and absolute health concentration curves since the literature does not offer the expression of these recentered influence functions. We offer an empirical illustration using information on cigarette consumption from the National Health Interview Survey of 2000 and 2020.

Suggested Citation

  • Khadija Bchi & Paul Makdissi & Myra Yazbeck, 2024. "A modeling approach to decomposing changes in health concentration curves," Working Papers 2403E, University of Ottawa, Department of Economics.
    • Handle: RePEc:ott:wpaper:2403e
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    File URL: http://hdl.handle.net/10393/46239
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    References listed on IDEAS

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    10. Sergio Firpo & Cristine Pinto, 2016. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 457-486, April.
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    More about this item

    Keywords

    Counterfactual; inverse probability weighting; recentered influence function; health concentration curves;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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