CLASSIFICATION TREE FOR MODELLING THE RELATIONSHIP BETWEEN IT&C AND THE ECONOMIC DEVELOPMENT FOR THE EU-28 MEMBER STATES

Daniela Alexandra Crisan (), Mihai Christian Crisan (), Oana Teodora Grigore () and Razvan Baluta ()
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Daniela Alexandra Crisan: Romanian-American University, Bucharest
Mihai Christian Crisan: Romanian-American University, Bucharest
Oana Teodora Grigore: Romanian-American University, Bucharest
Razvan Baluta: Romanian-American University, Bucharest

Romanian Economic Business Review, 2015, vol. 10, issue 4, 22-33

Abstract: The relationship between IT&C and the economic development on EU level has been investigated through many approaches. In this paper a new solution based on classification trees is proposed. The classification tree will describe models, templates for certain types of economies in EU-28, based on IT&C indicators. Three types of economies (classes) have been considered: Advanced economies, Developing economies and Modest economies; they have been clustered using their GDP-per capita indicator. The classification tree uses ten IT&C attributes provided by The Global Information Technology Report (GITR) 2015, they are the ten pillars composing the Network Readiness Indicator.

Keywords: IT&C; GDP; NRI; classification tree; CART; data analysis (search for similar items in EconPapers)
Date: 2015
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