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동의어 포함
Title page 1
Contents 4
Abstract 3
Acknowledgements 3
1. Introduction 5
2. EU poverty policy and measurement 6
2.1. Current measures for monitoring poverty in the EU 6
2.2. Measuring poverty in a changing policy context 8
3. Capturing poverty dynamics 10
3.1. Poverty duration and its policy relevance 10
3.2. Expanding the knowledge on EU poverty dynamics 12
4. Data and methodology 13
4.1. Poverty trajectories 15
4.2. Dynamic poverty 16
4.2.1. Dynamic risk of poverty 16
4.2.2. Dynamic poverty gap 18
5. Descriptive results 19
5.1. Poverty trajectories 19
5.1.1. Poverty trajectories across countries and time 19
5.1.2. Poverty trajectories by individual and household characteristics 23
5.1.3. Poverty trajectories by labour market characteristics 28
5.2. Dynamic risk of poverty 30
5.3. Poverty gap measures 31
5.4. Cross-Sectional versus Dynamic Poverty 33
5.5. The dynamic of entering and exiting poverty 36
6. The role of social protection 38
7. Multivariate analysis 42
8. Conclusions 44
References 46
Annexes 49
Figure 1. Poverty trajectories (share of total population) in MS, 2019-2022 21
Figure 2. Poverty trajectories (share of total poor population) in MS, 2019-2022 21
Figure 3. Changes in poverty trajectories (share of total population) by period (2011-2014, 2015-2018, 2019-2022) in EU-25 22
Figure 4. Changes in chronic poverty rate by MS, 2011-2014 vs 2019-2022 22
Figure 5. Poverty trajectories by age (share of total population), EU-25, 2019-2022 23
Figure 6. Poverty trajectories by gender (share of total population), EU-25, 2019-2022 24
Figure 7. Poverty trajectories by education (share of total population), EU-25, 2019-2022 24
Figure 8. Poverty trajectories by country of birth (share of total population), EU-25, 2019-2022 25
Figure 9. Poverty trajectories by place of living (share of total population), EU-25, 2019-2022 26
Figure 10. Poverty trajectories by home ownership status (share of total population), EU-25, 2019-2022 26
Figure 11. Poverty trajectories by health status (share of total population), EU-25, 2019-2022 27
Figure 12. Poverty trajectories by chronic illness status (share of total population), EU-25, 2019-2022 28
Figure 13. Poverty trajectories by the predominant labour market status (share of total population), EU-25, 2019-2022 29
Figure 14. Poverty trajectories by household work intensity (share of total population), EU-25, 2019-2022 29
Figure 15. The dynamic risk of poverty (DROP) (share of total population), MS and in EU-25, 2014-2022 30
Figure 16. Average dynamic poverty gap for the entire population, EU-25, 2014-2022 32
Figure 17. Changes in average dynamic poverty gap, EU-25, 2014-2022 33
Figure 18. AROP (2022) vs. at-risk-of-poverty at least once in the last four years, Member States, 2019-2022 34
Figure 19a. AROP (2014) vs. DROP (2011-2014) for 2 and 4 years by MS 35
Figure 19b. AROP (2018) vs. DROP (2015-2018) for 2 and 4 years by MS 35
Figure 19c. AROP (2022) vs. DROP (2019-2022) for 2 and 4 years by MS 36
Figure 20. Entry and Exit rates by MS, 2015-2023 37
Figure 21. Four-year churn rates by MS, EU-SILC waves, 2015 and 2023 37
Figure 22. The dynamic risk of poverty before and after social transfers, EU-25, 2014-2022 39
Figure 23a. The dynamic risk of poverty before and after social transfers for at least 2 out of 4 years in poverty in Member States, 2014-2022 40
Figure 23b. The dynamic risk of poverty before and after social transfers for at least 3 out of 4 years in poverty in Member States, 2014-2022 40
Figure 23c. The dynamic risk of poverty before and after social transfers for 4 out of 4 years in poverty in Member States, 2014-2022 41
Figure 24. The impact of social transfers on poverty reduction for AROP (2022) and DROP (2019-2022) 42
Figure A1. Matrix of incomes 49
Figure A2. Poverty spells and DROP 49
Figure A3. Normalised poverty gaps 49
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