Abstract

PARADA ROJAS, Ana Cecilia  and  RIOS BOLIVAR, Humberto. Globalization and inequality: A mltidimensional approach through artificial naural networks. Anál. econ. [online]. 2018, vol.33, n.82, pp.31-58. ISSN 2448-6655.

Globalization 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.

Keywords : Income inequality; Globalization; Artificial Neural Network.

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