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Digital
Library of the European Council for Modelling and Simulation |
Title: |
Clustering EU Countries
Based On Death Probabilities |
Authors: |
Kolos Csaba
Agoston, Agnes Vaskoevi |
Published in: |
2020). ECMS 2020 Proceedings
Edited by: Mike Steglich, Christian Muller, Gaby
Neumann, Mathias Walther, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2020 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-68-5 Communications of the ECMS , Volume 34, Issue 1, June 2020, United Kingdom |
Citation
format: |
Kolos Csaba Agoston,
Agnes Vaskoevi (2020). Clustering EU Countries
Based On Death Probabilities, ECMS 2020
Proceedings Edited By: Mike Steglich, Christian
Mueller, Gaby Neumann, Mathias Walther European Council for Modeling and
Simulation. doi: 10.7148/2020-0091 |
DOI: |
https://doi.org/10.7148/2020-0091 |
Abstract: |
Background Our research is conducted to identify certain grouping of 24
European countries based on their death probabilities. Gathering 2014 data
from Human Mortality Database our research objective was twofold. First, we
wanted to find homogeneous groups of countries where mortality is similar and
for a financial institution they could be grouped as risk communities.
Second, we wanted to identify the optimal number of groups as a basis for
strategy making. Two different clustering methods were used in our research,
k-means and k-median clustering. We applied asymmetric measure (QDEV) in
k-median method to handle the differences in country sizes and age groups.
Our results are stable but different in k=3 clusters, |
Full
text: |