The active and healthy ageing measure reported here is calculated for the 28 European Union countries, with a specific focus on the current generation of older people and by using the latest data from multiple surveys. It covers diverse aspects of active and healthy ageing, by measuring older people’s contribution with respect to not just employment but also their unpaid familial, social and cultural contributions and their independent, healthy and secure living. The article presents the first-of-its-kind quantitative measure of active and healthy ageing in the literature on active and healthy ageing which hitherto has focused largely on concepts, definitions and public policy strategies. In this pursuit, an important contribution of this measure, referred to as the Active Ageing Index (‘AAI’), is that it also captures how countries differ with respect to capacity and enabling environments for active and healthy ageing. The AAI offers a breakdown not just by four domains of active and healthy ageing but also by gender. Key findings are that Sweden comes at the top of the country ranking, followed closely by Denmark, the United Kingdom, Finland, the Netherlands and Ireland. The four southern European countries (Italy, Portugal, Spain and Malta) are middle-ranked countries. Greece and many of the Central European countries are at the bottom, highlighting much greater untapped potentials of active and healthy ageing among older people in these countries and a need for greater policy efforts. Women fare worse than men in most countries, identifying a need for an emphasis on reducing gender disparity in experiences of active and healthy ageing. The AAI tool developed has the potential to identify the social policy mechanisms behind the differential achievements of active and healthy ageing, for example, what active and healthy ageing strategies have driven top performers, and in what respect the bottom-ranked countries have lagged behind.

Non‐take‐up of means tested benefits is a widespread phenomenon in European welfare states. The paper assesses whether the reform that replaced the monetary social assistance benefit by the minimum income benefit in Austria in 2010/11 has succeeded in increasing take up rates. We use EU‐SILC register data together with the tax‐benefit microsimulation model EUROMOD/SORESI. The results show that the reform led to a significant decrease of non‐take‐up from 53 to 30% in terms of the number of households and from 51 to 30% in terms of expenditure. Following the three‐t's (threshold, trigger, and trade‐off) introduced by Van Oorschot, estimates of a two‐stage Heckman selection model as well as expert interviews indicate that the taken measures include both threshold and trade‐off characteristics. Elements such as the higher degree of anonymity within the claiming process, the provision of health insurance, binding minimum standards, the limitation of the maintenance obligations, new regulations related to the liquidation of wealth, as well as the general coverage of the benefit reform in the media and in public discussions led to an improved access to the benefit.

This study has been prepared within the UNU-WIDER project on 'SOUTHMOD-Simulating Tax and benefit policies for development', which is part of the Institute's larger research project on 'The economics and politics of taxation and social protection'.

This note has been prepared within the UNU-WIDER project SOUTHMOD -simulating tax and benefit policies for development Phase 2, which is part of the Domestic Revenue Mobilization programme. The programme is financed through specific contributions by the Norwegian Agency for Development Cooperation (Norad).