Improving risk equalization with constrained regressionстатья из журнала
Аннотация: State-of-the-art risk equalization models undercompensate some risk groups and overcompensate others, leaving systematic incentives for risk selection. A natural approach to reducing the under- or overcompensation for a particular group is enriching the risk equalization model with risk adjustor variables that indicate membership in that group. For some groups, however, appropriate risk adjustor variables may not (yet) be available. For these situations, this paper proposes an alternative approach to reducing under- or overcompensation: constraining the estimated coefficients of the risk equalization model such that the under- or overcompensation for a group of interest equals a fixed amount. We show that, compared to ordinary least-squares, constrained regressions can reduce under/overcompensation for some groups but increase under/overcompensation for others. In order to quantify this trade-off two fundamental questions need to be answered: "Which groups are relevant in terms of risk selection actions?" and "What is the relative importance of under- and overcompensation for these groups?" By making assumptions on these aspects we empirically evaluate a particular set of constraints using individual-level data from the Netherlands (N = 16.5 million). We find that the benefits of introducing constraints in terms of reduced under/overcompensations for some groups can be worth the costs in terms of increased under/overcompensations for others. Constrained regressions add a tool for developing risk equalization models that can improve the overall economic performance of health plan payment schemes.
Год издания: 2016
Издательство: Springer Science+Business Media
Источник: The European Journal of Health Economics
Ключевые слова: Healthcare Policy and Management, Health Systems, Economic Evaluations, Quality of Life, Global Health Care Issues
Другие ссылки: The European Journal of Health Economics (PDF)
The European Journal of Health Economics (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
RePEc: Research Papers in Economics (PDF)
RePEc: Research Papers in Economics (HTML)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (PDF)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (HTML)
Data Archiving and Networked Services (DANS) (PDF)
Data Archiving and Networked Services (DANS) (HTML)
EUR Research Repository (Erasmus University Rotterdam) (HTML)
Data Archiving and Networked Services (DANS) (PDF)
Data Archiving and Networked Services (DANS) (HTML)
RePEc: Research Papers in Economics (HTML)
PubMed Central (HTML)
PubMed (HTML)
The European Journal of Health Economics (HTML)
Europe PMC (PubMed Central) (PDF)
Europe PMC (PubMed Central) (HTML)
RePEc: Research Papers in Economics (PDF)
RePEc: Research Papers in Economics (HTML)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (PDF)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (HTML)
Data Archiving and Networked Services (DANS) (PDF)
Data Archiving and Networked Services (DANS) (HTML)
EUR Research Repository (Erasmus University Rotterdam) (HTML)
Data Archiving and Networked Services (DANS) (PDF)
Data Archiving and Networked Services (DANS) (HTML)
RePEc: Research Papers in Economics (HTML)
PubMed Central (HTML)
PubMed (HTML)
Открытый доступ: hybrid
Том: 18
Выпуск: 9
Страницы: 1137–1156