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Dynamic Estimation of Health Expenditure: A new approach for simulating individual expenditure

Author

Listed:
  • Valerie Albouy

    (INSEE Institut national de la statistique et des études économiques)

  • Laurent Davezies

    (INSEE Institut national de la statistique et des études économiques)

  • Thierry Debrand

    (IRDES Institute for research and information in health economics)

Abstract

This study compares estimates of outpatient expenditure computed with different models. Our aim is to predict annual health expenditures. We use a French panel dataset over a six year period (2000-2006) for 7112 individuals. Our article is based on the estimations of five different models. The first model is a simple two part model estimated in cross section. The other models (models 2 to 5) are estimated with selection models (or generalized tobit models). Model 2 is a basic sample selection model in cross section. Model 3 is similar to model 2, but takes into account the panel dimension. It includes constant unobserved heterogeneity to deal with state dependency. Model 4 is a dynamic sample selection model (with lagged adjustement), while in model 5, we take into account the possible heteroskedasticity of residuals in the dynamic model. We find that all the models have the same properties in the cross section dimension (distribution, probability of health care use by gender and age, health expenditure by gender and age) but model 5 gives better results reflecting the temporal correlation with health expenditure. Indeed, the retransformation of predicted log transformed expenditures in homoscedastic models (models 1 to 4) generates very poor temporal correlation for " heavy consumers ", although the data show the contrary. Incorporation of heteroskedasticity gives better results in terms of temporal correlation.

Suggested Citation

  • Valerie Albouy & Laurent Davezies & Thierry Debrand, 2009. "Dynamic Estimation of Health Expenditure: A new approach for simulating individual expenditure," Working Papers DT20, IRDES institut for research and information in health economics, revised Jan 2009.
  • Handle: RePEc:irh:wpaper:dt20
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    References listed on IDEAS

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    Cited by:

    1. Thierry Debrand & Christine Sorasith, 2010. "Bouclier sanitaire : choisir entre égalité et équité ? Une analyse à partir du modèle ARAMMIS," Working Papers DT32, IRDES institut for research and information in health economics, revised Jun 2010.
    2. Anup Karan & Sakthivel Selvaraj & Ajay Mahal, 2014. "Moving to Universal Coverage? Trends in the Burden of Out-Of-Pocket Payments for Health Care across Social Groups in India, 1999–2000 to 2011–12," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-13, August.
    3. Laurence Ales & Roozbeh Hosseini & Larry Jones, "undated". "Is There ``Too Much'''' Inequality in Health Spending Across Income Groups?," GSIA Working Papers 2014-E18, Carnegie Mellon University, Tepper School of Business.
    4. Thierry Debrand & Christine Sorasith, 2010. "Out-of-Pocket Maximum Rules under a Compulsatory Health Care Insurance Scheme: A Choice between Equality and Equity," Working Papers DT34, IRDES institut for research and information in health economics, revised Nov 2010.

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    More about this item

    Keywords

    Health econometrics; expenditures; panel data; selection models;
    All these keywords.

    JEL classification:

    • I0 - Health, Education, and Welfare - - General
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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