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Sensitivity and vulnerability of European countries in time of crisis based on a new approach to data clustering and curvilinear analysis

Author

Listed:
  • David BECERRA ALONSO

    (Associate Professor, PhD; Universidad Loyola Andalucía; Córdoba; Spain)

  • Armenia ANDRONICEANU

    (Professor PhD; Bucharest University of Economic Studies, Department of Administration and Public Management; Bucharest; Romania)

  • Irina GEORGESCU

    (Lecturer PhD; Bucharest University of Economic Studies, Department of Economic Informatics and Cybernetics; Bucharest; Romania)

Abstract

In this paper we inquire into the way the global crisis during the period 2008- 2012 reflected in some macroeconomic and social indicators of the EU member states. Applying Curvilinear Component Analysis (CCA) on a dataset representing these social indicators, a classification of EU countries is obtained. Comparing this classification with the one resulted from a previous study with self organizing maps (SOM) it was noticed that the clusters are almost identical, CCA having the advantage of dimensionality reduction over SOM. CCA shows the detailed distances between the countries/year, dismissing outliers. This allows for a case by case study both in terms of clustering and in terms of temporal analysis. The research findings prove the sensitivity and vulnerability of European countries during the crisis and could help the policy makers to identify effective measures for strengthening the protective capacity of their states in the event of a future economic and social crisis.

Suggested Citation

  • David BECERRA ALONSO & Armenia ANDRONICEANU & Irina GEORGESCU, 2016. "Sensitivity and vulnerability of European countries in time of crisis based on a new approach to data clustering and curvilinear analysis," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2016(27), pages 46-61, Decembre.
  • Handle: RePEc:rom:rampas:v:2016:y:2016:i:27:p:46-61
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    References listed on IDEAS

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    More about this item

    Keywords

    curvilinear component analysis; dimensionality reduction methods; data clustering; visualization;
    All these keywords.

    JEL classification:

    • F53 - International Economics - - International Relations, National Security, and International Political Economy - - - International Agreements and Observance; International Organizations
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • L32 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Public Enterprises; Public-Private Enterprises
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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