Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Social health insurance traditionally imposes mandatory membership in a single pool in the aim of improving the welfare of high risks. However, this creates two problems, inefficiency of a monopolistic scheme and insufficient adaptation to individual preferences. Competition combined with a risk adjustment scheme can be used to improve efficiency. In the presence of preference heterogeneity, risk selection may improve adaptation to individual preferences, resulting in Pareto improvement over the pooling contract. This is shown to be possible both under perfect and imperfect risk adjustment.
Peter Zweifel. 2015. \u201cPareto-improving Risk selection in Social Health Insurance\u201d. Global Journal of Management and Business Research - B: Economic & Commerce GJMBR-B Volume 15 (GJMBR Volume 15 Issue B6): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 102
Country: Austria
Subject: Global Journal of Management and Business Research - B: Economic & Commerce
Authors: Peter Zweifel, Michael Breuer (PhD/Dr. count: 0)
View Count (all-time): 103
Total Views (Real + Logic): 4199
Total Downloads (simulated): 1978
Publish Date: 2015 09, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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Social health insurance traditionally imposes mandatory membership in a single pool in the aim of improving the welfare of high risks. However, this creates two problems, inefficiency of a monopolistic scheme and insufficient adaptation to individual preferences. Competition combined with a risk adjustment scheme can be used to improve efficiency. In the presence of preference heterogeneity, risk selection may improve adaptation to individual preferences, resulting in Pareto improvement over the pooling contract. This is shown to be possible both under perfect and imperfect risk adjustment.
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