Research output per year
Research output per year
Abstract
The analysis of the at-risk-of-poverty determinants can be improved by taking into account factors at macro (regional) level. This hypothesis has already been made in previous research, at country-level, on cross-sectional data. We use longitudinal data in this analysis in order to get more precise estimated parameters, and we test if the regional unemployment rate and the regional GDP affect the individual at-risk-of-poverty status. The countries taken into account are those present in the Statistics on Income and Living Conditions (EU-SILC) dataset.
| Original language | English |
|---|---|
| Publisher | CEPS/INSTEAD |
| Number of pages | 34 |
| Publication status | Published - 2010 |
Publication series
| Name | Working Papers |
|---|---|
| Publisher | CEPS/INSTEAD |
| No. | 2010-13 |
Keywords
- EU-SILC
- income poverty
- longitudinal data
- multilevel models
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The Relationship Between EU Indicators of Persistent and Current Poverty
Jenkins, S. P. & Van Kerm, P., 1 Apr 2014, In: Social Indicators Research. 116, 2, p. 611-638 16 p.Research output: Contribution to journal › Article › peer-review
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The relationship between EU indicators of persistent and current poverty
Jenkins, S. P. & Van Kerm, P., 2012, CEPS/INSTEAD, 48 p. (Working Papers; no. 2012-43).Research output: Working paper
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The relationship between income and housing deprivation in Luxembourg: a longitudinal analysis
Fusco, A., 2012, CEPS/INSTEAD, 24 p. (Working Papers; no. 2012-10).Research output: Working paper
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