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To shed light on the quality of the ageing experience in Europe and its heterogeneity, this study adapts and computes the Active Ageing Index - an index constructed at the country level to monitor ageing quality in Europe - at the individual level. This strategy allows the measuring of inequality in the experience of active ageing and is flexible enough to consider different value judgements in the overall assessment of the quality of life while ageing. The study examines the predictors of this inequality by using regressions with a Gini-recentred influence function. It finds that education plays a very significant role in reducing inequality, though its influence varies across countries. Furthermore, the study uncovers large variance in the quality of the ageing experience across Europe. For instance, more than 50% of the populations of Romania, Lithuania and Bulgaria show a level of active ageing quality lower than that of the bottom decile of the distribution in Sweden.

Peru has one of the highest number of deaths proportional to its population and a severely hit economy, even though it was one of the first countries to implement strict social distancing measures and an ambitious plan for fiscal stimulus and economic relief for households. The response of the state was mostly based on (i) various cash transfers for the most vulnerable; (ii) policies to activate the economy such as a program to guarantee loans to firms; and (iii) allowing withdrawals from individual pension pots. Unfortunately, a combination of low financial inclusion, deficiencies in registers and structural limitations compromised the effectiveness of the social transfers, reaching recipients late or never. Furthermore, depleting pension funds may ease liquidity concerns in the short run, but the negative consequences on securing a pension for the future are immense. Worse, individuals who are not experiencing hardship can also make these withdrawals. Other countries, like Chile, have followed, paving the way for a dangerous trend that can jeopardize old-age security. ; 11

AbstractTo shed light on the quality of the ageing experience in Europe and its heterogeneity, this study adapts and computes the Active Ageing Index—an index constructed at the country level to monitor ageing quality in Europe—at the individual level. This strategy allows the measuring of inequality in the experience of active ageing and is flexible enough to consider different value judgements in the overall assessment of the quality of life while ageing. The study examines the predictors of this inequality by using regressions with a Gini-recentred influence function. It finds that education plays a very significant role in reducing inequality, though its influence varies across countries. Furthermore, the study uncovers large variance in the quality of the ageing experience across Europe. For instance, more than 50% of the populations of Romania, Lithuania and Bulgaria show a level of active ageing quality lower than that of the bottom decile of the distribution in Sweden.

This paper uses pseudo panel techniques and a fixed effects estimator to analyse the determinants of preferences for redistribution in 34 European countries over the period 2002-2012. The data is drawn from the six available waves of the European Social Survey. The main result is that changes in income inequality positively affect changes in preferences for redistribution over time. Though this result is predicted by standard political economy models, it has found little previous empirical support. This study shows that, at least in Europe, growing income inequality leads to more individual support for redistribution. The empirical results hold after performing a variety of robustness checks regarding the construction of pseudo panels, the use of lags and different measures of income inequality.

Abstract This paper uses pseudo panel techniques and a fixed effects estimator to analyse the determinants of preferences for redistribution in 34 European countries over the period 2002–2012. The data is drawn from the six available waves of the European Social Survey. The main result is that changes in income inequality positively affect changes in preferences for redistribution over time. Though this result is predicted by standard political economy models, it has found little previous empirical support. This study shows that, at least in Europe, growing income inequality leads to more individual support for redistribution. The empirical results hold after performing a variety of robustness checks regarding the construction of pseudo panels, the use of lags and different measures of income inequality. Keywords: Redistribution, Income Inequality, Preferences for redistribution, Pseudo panels.