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Title: Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework
Resulting in 1 citation.
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Heo, Wookjae |
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Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework In: The Demand for Life Insurance, Palgrave Pivot, Cham, 2020. Also: https://link.springer.com/chapter/10.1007/978-3-030-36903-3_5 Cohort(s): NLSY79 Publisher: Springer Keyword(s): Alcohol Use; Assets; Depression (see also CESD); Educational Attainment; Exercise; Geocoded Data; Health/Health Status/SF-12 Scale; Insurance; Nutritional Status/Nutrition/Consumption Behaviors Permission to reprint the abstract has not been received from the publisher. Herein, an empirical example of this new research will be shown. Two machine learning techniques are used for this example during unsupervised learning with clustering and supervised learning with artificial neural networks (ANNs). A basic example has been produced and confirmed using a reliable dataset from Bureau of Labor Statistics. In part 1, the research methodology and data are described. |
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Bibliography Citation
Heo, Wookjae. "Empirical Analysis Part 1 Methodology and Data: Empirical Example of Predicting the Demand for Life Insurance by Using the Dynamic Systemic Framework" In: .
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