Abstract
How did the financial crisis affect population welfare in EU member states in
key dimensions such as income, health, and education? Using EU-SILC data,
we seek to answer this question by way of first order dominance comparisons
between countries and over time. The novel feature of our study is that we
perform welfare comparisons on the basis of multi-level multidimensional ordinal
data. We nd that the countries most often dominated are southern
and eastern European member states, and the dominant countries are mostly
northern and western European member states. However, for most country
comparisons, there is no dominance relationship. Moreover, only a few member
states have experienced a temporal dominance improvement in welfare,
and no member states have experienced a dominance deterioration.
key dimensions such as income, health, and education? Using EU-SILC data,
we seek to answer this question by way of first order dominance comparisons
between countries and over time. The novel feature of our study is that we
perform welfare comparisons on the basis of multi-level multidimensional ordinal
data. We nd that the countries most often dominated are southern
and eastern European member states, and the dominant countries are mostly
northern and western European member states. However, for most country
comparisons, there is no dominance relationship. Moreover, only a few member
states have experienced a temporal dominance improvement in welfare,
and no member states have experienced a dominance deterioration.
Original language | English |
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Publisher | Department of Business and Economics, SDU |
Number of pages | 33 |
Publication status | Published - 2017 |
Series | Discussion Papers on Business and Economics |
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Number | 10 |
Volume | 2017 |
Keywords
- first order dominance
- multidimensional welfare
- multidimensional well-being
- Multi-level indicators
- EU-SILC