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On the Impact of the European Union in Citizens’ Perception of Quality of Life

Author

Listed:
  • Giancarlo MANZI
  • Pier Alda FERRARI
  • Sonia STEFANIZZI

Abstract

In the 2000s many important events have affected the EU political and economic stage: the adoption of the Euro currency, the enlargement occurred in three waves, the big economic crisis in 2008 and the Brexit referendum in 2016, just to cite a few. It is common opinion that these shocks have contributed to deeply change the average citizens’ attitude towards the EU and have had a strong impact on citizens’ quality of life. The present work aims at analysing the relationship between the EU and EU citizens’ perceived quality of life. This analysis is carried out in two-steps via firstly a nonlinear principal component analysis to extract underlying components of perceived quality of life related to the EU, and secondly using multilevel modelling to take into account country effects influencing the overall quality of life. Specific attention is given to national differences and the connection with the general citizens’ perception of quality of life.

Suggested Citation

  • Giancarlo MANZI & Pier Alda FERRARI & Sonia STEFANIZZI, 2017. "On the Impact of the European Union in Citizens’ Perception of Quality of Life," Departmental Working Papers 2017-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  • Handle: RePEc:mil:wpdepa:2017-08
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    References listed on IDEAS

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    More about this item

    Keywords

    Quality of Life; European Union; Nonlinear Principal Component Analysis; Multilevel Models; Synthetic Indicators;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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