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Author: search.filters.author.Olivera, JavierSubject: search.filters.subject.Inequality

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    Preferences for redistribution policies among politicians and citizens
    (London School of Economics and Political Science, 2025-11-04)
    This paper compares the “mental maps” of redistribution among politicians and citizens across seven parliaments, using original in-person surveys of sitting MPs and nationally representative citizen samples. Fairness beliefs and ideology are the strongest correlates of support for redistribution in both groups, while misperceptions of wealth concentration matter for citizens but much less for politicians. A central finding is that politicians hold markedly more polarized views on redistribution than citizens, including within the same party families. We also find systematic elite–voter gaps: left MPs are more supportive than their voters (notably on inheritance taxation), whereas right/liberal MPs are less supportive than theirs. These patterns point to a representation concern and a bargaining space among elites that is narrower than in the electorate.
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    Ageing unequally in Latin America
    (Springer, 2025)
    This paper studies active ageing and its distribution among older adults in a sample of 18 Latin American countries. For this purpose, a multidimensional index of active ageing is estimated for each individual, as well as its distribution in each country. This strategy makes it possible to measure inequalities in the ageing process, and also to consider different value judgements in the overall assessment of well-being during ageing. Thus, the study sheds light on discrepancies in the quality of ageing within and between countries. Furthermore, individual factors associated with the degree of inequality in active ageing are analysed by means of regressions using Gini re-centred influence functions. A higher proportion of people with secondary education and better access to water and sewerage services is found to be associated with reduced inequality in active ageing. Country-level variables — such as health expenditure, pension coverage, access to health care and the poverty rate among older people — are key in explaining between-country differences in active ageing.
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