Abstract
This chapter studies the differences in active ageing across cohorts and countries in Europe. This is done with the replication of the Active Ageing Index for cohorts formed by age group, sex and country for 2012. The analysis is performed with different model regressions at the cohort level and introducing macro variables at the country level. In general, there is a gap in active ageing in detriment of females which is larger in older cohorts. Further, wealth, equity and pension settings of the country are important predictors for better active ageing. Finally, in line with the original AAI results, it is found that the Social-Democratic welfare regime (Nordic countries), with its set of strong redistributive policies, is the most favourable setting for active ageing.
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Notes
- 1.
It will become more evident in the empirical section, but it can be said that these differences are taken into account when linear regressions are performed for a sample where the unit of analysis is the cohort as defined above.
- 2.
- 3.
This is the very last available revision of EU-SILC-2012 (01 Aug 2014) at the time of production of this study.
- 4.
The average values in each domain (employment, participation, independent and capacity) of the official and simulated AAI are (0.279; 0.181; 0.706; 0.544) and (0.231; 0.176; 0.652; 0.542), respectively.
- 5.
This result is perhaps driven by the indicator 3.2 of Table 13.1, which measures the proportion of individuals living in single or couple households. It is much more common to observe older individuals living in these types of households. In fact, it is also more likely that those who struggle with independent living are more likely to move into residential care. In any case, it must be noted that people living in residential care homes are not included in the sample of the EQLS.
- 6.
The log of pension per capita is dropped from model 6 because this presents the largest contribution to the overall multicollinearity measured with the Variable Inflation Factor (VIF). The VIF of that variable is 15.74.
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Olivera, J. (2018). A Cross-country and Cohort Analysis of Active Ageing Differences Among the Elderly in Europe. In: Zaidi, A., Harper, S., Howse, K., Lamura, G., Perek-Białas, J. (eds) Building Evidence for Active Ageing Policies. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-10-6017-5_13
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