Applications - Economy



  • Collaborator Institution:  Spanish Inter-Ministerial Commision of Science and Technology, European Regional Development fund and “Junta de Andalucia” (Spain). Department of Management and Quantitative Methods, ETEA, Business Administration Faculty, Spain.
  • Main targeted goal: Prediction and classification of economic crises, economic growth and allocating resources to countries.
  • Methodological subfield: Supervised Classification, Logistic Regression, Artificial Neural Networks, Evolutionary Computation, Clustering, decision making...
  • Methodological contribution: New models for the use of the macroeconomic variables and economical interpretation. New methods with adequacy, adaptability and interpretability in analysing dichotomous classification problems in a very complex environment.
  • Impact in domain field:  More accuracy in the Research and Development performance classification model in the European Union Member States, new methods for detecting and predicting banking crises. Decision making and economic management in livestock enterprises.