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Mining Of Classification Trees To Analyze A Multidimensional Phenomenon

Author

Listed:
  • ANA CECILIA PARADA ROJAS

    (Instituto Politécnico Nacional)

  • Humberto Ríos Bolívar

    (Instituto Politécnico Nacional)

  • Jorge Omar Razo De Anda

    (Instituto Politécnico Nacional)

Abstract

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.

Suggested Citation

  • ANA CECILIA PARADA ROJAS & Humberto Ríos Bolívar & Jorge Omar Razo De Anda, 2019. "Mining Of Classification Trees To Analyze A Multidimensional Phenomenon," Proceedings of International Academic Conferences 9110842, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:9110842
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    More about this item

    Keywords

    Income Inequality; Globalization; International Trade; Data Mining; Classification and Regression Tree (CART);
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • F00 - International Economics - - General - - - General

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