During periods of remarkable trade openness, increase income inequality in many countries. This paper analyzes how factors that influence inequality due to commercial globalization interact each other. For which a reliable Classifier Tree-selected through a modeling process of bootstrapping-is built, it has 14 knowledge rules and classifies 84% of the observations correctly. This model indicates that inequality's changes into a country, due greater economic integration, depend principally on the labor market' structure-in agricultural countries and urbanization processes (industrialization) it reduces depending in turn on the rule of law; on the other hand, in countries with a strong service sector and good trade terms it increases in periods of stagnation or with low levels of high technology exports.
During periods of remarkable trade openness, increase income inequality in many countries. This paper analyzes how factors that influence inequality due to commercial globalization interact each other. For which a reliable Classifier Tree-selected through a modeling process of bootstrapping-is built, it has 14 knowledge rules and classifies 84% of the observations correctly. This model indicates that inequality's changes into a country, due greater economic integration, depend principally on the labor market' structure-in agricultural countries and urbanization processes (industrialization) it reduces depending in turn on the rule of law; on the other hand, in countries with a strong service sector and good trade terms it increases in periods of stagnation or with low levels of high technology exports.
ResumenLa globalización es un fenómeno multidimensional que incluye factores comerciales, financieros, tecnológicos y macroeconómicos, los cuales tienen distintos efectos sobre la desigualdad en el ingreso entre los hogares dentro un país. En este trabajo se aborda la interacción entre dichas variables para identificar los principales factores de cada dimensión y la dirección de su efecto a través del Análisis de Sensibilidad de Redes Neuronales Artificiales (RNA). Esta herramienta de minería de datos permite captar relaciones no lineales desde un enfoque no paramétrico. Entre los factores que destacan en la reducción AbstractGlobalization is a multidimensional phenomenon that includes the commercial, financial, technological and macroeconomic factors, which have different effects on household income inequality within countries. This paper studies the interrelation between this variables to identify the main factors of each dimension and the direction of its effect through the Sensitivity Analysis of Artificial Neural Networks. This data mining tool finds out non-linear relationships with a non-parametric approach. The main factors that reduce inequality includes credit and spending on research and development, control of corruption and population growth, a credible position in the financial account and trade globalization.
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