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Setting incentives right with long-term risk adjustment

Author

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  • Simon Reif

    (ZEW – Centre for European Economic Research
    FAU Erlangen-Nürnberg
    University of Mannheim)

  • Sabrina Schubert

    (ZEW – Centre for European Economic Research
    FAU Erlangen-Nürnberg)

  • Achim Wambach

    (University of Mannheim)

Abstract

No abstract is available for this item.

Suggested Citation

  • Simon Reif & Sabrina Schubert & Achim Wambach, 2025. "Setting incentives right with long-term risk adjustment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 26(2), pages 147-151, March.
    • Handle: RePEc:spr:eujhec:v:26:y:2025:i:2:d:10.1007_s10198-024-01751-6
    DOI: 10.1007/s10198-024-01751-6
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    References listed on IDEAS

    as
    1. Schokkaert, Erik & Van de Voorde, Carine, 2004. "Risk selection and the specification of the conventional risk adjustment formula," Journal of Health Economics, Elsevier, vol. 23(6), pages 1237-1259, November.
    2. Ines Weinhold & Christian Schindler & Nils Kossack & Benjamin Berndt & Dennis Häckl, 2019. "Economic impact of disease prevention in a morbidity-based financing system: does prevention pay off for a statutory health insurance fund in Germany?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(8), pages 1181-1193, November.
    3. Hanming Fang & Alessandro Gavazza, 2011. "Dynamic Inefficiencies in an Employment-Based Health Insurance System: Theory and Evidence," American Economic Review, American Economic Association, vol. 101(7), pages 3047-3077, December.
    4. Layton, Timothy J. & McGuire, Thomas G. & van Kleef, Richard C., 2018. "Deriving risk adjustment payment weights to maximize efficiency of health insurance markets," Journal of Health Economics, Elsevier, vol. 61(C), pages 93-110.
    5. Karen Eggleston & Randall P. Ellis & Mingshan Lu, 2012. "Risk adjustment and prevention," Canadian Journal of Economics, Canadian Economics Association, vol. 45(4), pages 1586-1607, November.
    6. Ismail, I. & Stam, P.J.A. & Portrait, F.R.M. & van Witteloostuijn, A. & Koolman, X., 2024. "Addressing unanticipated interactions in risk equalization: A machine learning approach to modeling medical expenditure risk," Economic Modelling, Elsevier, vol. 130(C).
    7. Tuukka Holster & Shaoxiong Ji & Pekka Marttinen, 2024. "Risk adjustment for regional healthcare funding allocations with ensemble methods: an empirical study and interpretation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(7), pages 1117-1131, September.
    8. S. H. C. M. van Veen & R. C. van Kleef & W. P. M. M. van de Ven & R. C. J. A. van Vliet, 2018. "Exploring the predictive power of interaction terms in a sophisticated risk equalization model using regression trees," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1-12, February.
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