TY - GEN
T1 - Using SOMbrero to examine the economic convergence of European Countries from 2001-2013
AU - Deichmann, Joel
AU - Eshghi, Abdolreza
AU - Haughton, Dominique
AU - Li, Mingfei
PY - 2017
Y1 - 2017
N2 - This paper uses SOMbrero visualizations to examine two socio-economic dimensions of European states, generated by a factor analysis of time-series data from 2001-2013. We analyze SOMs for 41 countries with regard to “Old Capital” and “New Capital”, two factors that are generated from 12 variables. SOMbrero reveals evidence of various convergence paths over time for these two factors. This approach also clearly uncovers the differential impacts of the European recession upon clusters of European countries. In conclusion, we demonstrate that SOMs are a useful tool for better understanding European convergence.
AB - This paper uses SOMbrero visualizations to examine two socio-economic dimensions of European states, generated by a factor analysis of time-series data from 2001-2013. We analyze SOMs for 41 countries with regard to “Old Capital” and “New Capital”, two factors that are generated from 12 variables. SOMbrero reveals evidence of various convergence paths over time for these two factors. This approach also clearly uncovers the differential impacts of the European recession upon clusters of European countries. In conclusion, we demonstrate that SOMs are a useful tool for better understanding European convergence.
UR - https://dx.doi.org/10.1109/WSOM.2017.8020007
U2 - 10.1109/wsom.2017.8020007
DO - 10.1109/wsom.2017.8020007
M3 - Conference contribution
BT - 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization, WSOM 2017
ER -