文章基本信息

标题：A METHOD TO IMPROVE ECONOMIC PERFORMANCE EVALUATION USING CLASIFICATION TREE MODELS
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作者：Madalina Ecaterina POPESCU ; Marin ANDREICA ; Dragos MICU 等
期刊名称：European Journal of Business and Social Sciences
印刷版ISSN：2235-767X
出版年度：2014
卷号：3
期号：04
页码：249-256
出版社：European Society of Business and Social Sciences
摘要：In this paper we propose a method for improving the evaluation process of economic performance applied for the case of the 28 European Union countries based on macroeconomic indicators, Hierarchical Cluster Analysis and CHAID decision trees. Using indicators of economic growth, current account, labour productivity, unemployment rate and real net earnings for the year 2013 we first applied a Hierarchical Cluster Analysis and identified two main E.U. country clusters— one corresponding to high economic performance countries and the second one corresponding to the E.U. countries with lower economic performances in 2013. We then build several CHAID decisional trees and tested their prediction ability in order to determine the most efficient model that can correctly classify the E.U. countries into high and low economic performance countries.
关键词：economic performance; evaluation method; CHAID;tree; classification; efficiency