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Evolution of outpatient healthcare expenditure due to ageing in 2030, a dynamic micro-simulation model for France

Author

Listed:
  • Charlotte Geay

    (Institut national de la statistique et des études économiques)

  • Grégoire de Lagasnerie

    (Sciences Po)

  • Makram Larguem

    (Université Panthéon-Assas - Paris 2)

Abstract

Population ageing will be a major challenge in Europe in the coming decades. This phenomenon will raise the question of the sustainability of public spending with increasing healthcare provision costs. This paper presents a dynamic micro-­‐simulation model for outpatient healthcare expenditure in France, which projects healthcare costs in the long run. Like all the dynamic micro-­‐simulation models, the model projects the population structure over time. The projections are run using a transition process between three states: two non-­‐absorbing (good-­‐health or ill-­‐health) and one absorbing state (death). The outpatient healthcare expenditure is estimated on data between 2002 and 2008 through a two-­‐part model. While healthcare spending of 25 years old and more represent 3.9% of GDP in 2008, they would reach 4.6% in the baseline scenario in 2032 (+0.7 percentage point of GDP or +17.5%). A difference in the share of expenditure in GDP appears between scenarios with different evolutions of health status during the projection period. Outpatient healthcare spending represents 4.6% of GDP in the central scenario in 2032, against 4.4 % in the most optimistic scenario and 4.7% in a pessimistic scenario.

Suggested Citation

  • Charlotte Geay & Grégoire de Lagasnerie & Makram Larguem, 2014. "Evolution of outpatient healthcare expenditure due to ageing in 2030, a dynamic micro-simulation model for France," Sciences Po publications 28, Sciences Po.
  • Handle: RePEc:spo:wpmain:info:hdl:2441/5cg3fnvgpv8u5peaglp6lrkkaq
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    References listed on IDEAS

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    1. Brigitte Dormont & Michel Grignon & Hélène Huber, 2006. "Health expenditure growth: reassessing the threat of ageing," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 947-963, September.
    2. Zucchelli, E. & Harris, M. & Zhao, X., 2012. "Ill-health and transitions to part-time work and self-employment among older workers," Health, Econometrics and Data Group (HEDG) Working Papers 12/04, HEDG, c/o Department of Economics, University of York.
    3. Manning, W. G. & Duan, N. & Rogers, W. H., 1987. "Monte Carlo evidence on the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 35(1), pages 59-82, May.
    4. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    5. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    6. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    7. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
    8. Leung, Siu Fai & Yu, Shihti, 1996. "On the choice between sample selection and two-part models," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 197-229.
    9. van Praag, B. M. S. & Frijters, P. & Ferrer-i-Carbonell, A., 2003. "The anatomy of subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 29-49, May.
    10. Didier Blanchet & Thierry Debrand, 2007. "Souhaiter prendre sa retraite le plus tôt possible : santé, satisfaction au travail et facteurs monétaires," Économie et Statistique, Programme National Persée, vol. 403(1), pages 39-62.
    11. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375, March.
    12. William Greene, 2003. "A Interpreting Estimated Parameters and Measuring Individual Heterogeneity in Random Coefficient Models," Working Papers 03-19, New York University, Leonard N. Stern School of Business, Department of Economics.
    13. S. P. Thi颡ut & T. Barnay & B. Ventelou, 2013. "Ageing, chronic conditions and the evolution of future drugs expenditure: a five-year micro-simulation from 2004 to 2029," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1663-1672, May.
    14. Fabrice Etilé & Carine Milcent, 2006. "Income‐related reporting heterogeneity in self‐assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981, September.
    15. Martin Spielauer, 2007. "Dynamic microsimulation of health care demand, health care finance and the economic impact of health behaviours: survey and review," International Journal of Microsimulation, International Microsimulation Association, vol. 1(1), pages 35-53.
    16. M. Duée & C. Rebillard, 2004. "Old age disability in France: a long run projection," Documents de Travail de l'Insee - INSEE Working Papers g2004-02, Institut National de la Statistique et des Etudes Economiques.
    17. Bound, John & Schoenbaum, Michael & Stinebrickner, Todd R. & Waidmann, Timothy, 1999. "The dynamic effects of health on the labor force transitions of older workers," Labour Economics, Elsevier, vol. 6(2), pages 179-202, June.
    18. Disney, Richard & Emmerson, Carl & Wakefield, Matthew, 2006. "Ill health and retirement in Britain: A panel data-based analysis," Journal of Health Economics, Elsevier, vol. 25(4), pages 621-649, July.
    19. Thomas Barnay & Sophie Thiebault & Bruno Ventelou, 2010. "Ageing, chronic conditions and the evolution of future drugs expenditures," Working Papers halshs-00809736, HAL.
    20. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    21. repec:dau:papers:123456789/3881 is not listed on IDEAS
    22. repec:dau:papers:123456789/423 is not listed on IDEAS
    23. Jones, Andrew M. & Rice, Nigel & Roberts, Jennifer, 2010. "Sick of work or too sick to work? Evidence on self-reported health shocks and early retirement from the BHPS," Economic Modelling, Elsevier, vol. 27(4), pages 866-880, July.
    24. Duan, Naihua, et al, 1983. "A Comparison of Alternative Models for the Demand for Medical Care," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 115-126, April.
    25. Roberto Astolfi & Luca Lorenzoni & Jillian Oderkirk, 2012. "A Comparative Analysis of Health Forecasting Methods," OECD Health Working Papers 59, OECD Publishing.
    26. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, July.
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    healthcare; expenditure; France;
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