Identifying under- and overcompensated groups in the Dutch Risk Equalization Model using stacking as a benchmark-model.

Additional Metadata
Keywords	Dutch Health Care; Health Insurance; Risk Equalization; Machine Learning; Stacking; Ordered Logit; Ridge Regression; Random Forest; Gradient Boosting
Thesis Advisor	Pick, A
Persistent URL	hdl.handle.net/2105/65806
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Vries, T.J. de. (2022). Identifying under- and overcompensated groups in the Dutch Risk Equalization Model using stacking as a benchmark-model. In Econometrie.http://hdl.handle.net/2105/65806

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