Funded research projects
ESRC Business and Local Government Data Research Centre is funded by the ESRC under Phase II of their Big Data Network. It is a collaboration between the Universities of Essex, East Anglia and Kent, and the London School of Economics and Political Science. HEG researchers have lead roles in the support for vulnerable people research stream.
Care and State Pension Reforms (CASPeR) is funded by the Nuffield Foundation and is a collaboration between HEG, the Personal Social Services Research Unit at the London School of Economics and Political Science and the Pensions Policy Institute. It has been analysing the interactions between the state pensions reforms implemented in April 2016,the proposals for a cap on an individual’s contribution to their care costs, following the recommendations of the Dilnot commission and other options currently under debate.
Disability and Poverty in Later Life was funded by the Joseph Rowntree Foundation who commissioned us to write a report as part of their 2016 anti-poverty strategy. The main report can be found here and the appendices to the report is here
Older people’s care and support was funded by the Nuffield Foundation and is a collaboration between HEG, the Personal Social Services Research Unit at the London School of Economics and Political Science and the National Centre for Social Research. The project exploited new questions on receipt of and payment for care, as well as provision of informal care, which were added to the Health Survey for England in 2011 and to the English Longitudinal Study of Ageing in 2012. HEG members were particularly involved in analysis of the targeting of disability benefits and subsidised social care amongst older people.
Disability and care needs in the older population: disability benefits, social care and well-being was funded by the Economic and Social Research Council under the first round of its Secondary Data Analysis Initiative. It aimed to provide robust, independent empirical evidence to sharpen policy judgements on reform of care services and disability benefits for older disabled people.
Developing improved survey questions on older people’s receipt of and payment for formal and informal care was funded by the Nuffield Foundation and was a collaboration between the Personal Social Services Research Unit at Kent and LSE, the Health Economics Group at the University of East Anglia and the National Centre for Social Research (NatCen). It developed a new module of survey questions which has now been adopted in the Health Survey for England and the English Longitudinal Study of Ageing. Details of the module and the research which underpins it are available here.
Modelling ageing populations to 2030 (MAP2030) aimed to produce high quality analysis to inform scientific and public debate and the development of future long-term care and pension policy up to 2030. It used a number of linked simulation models and was composed of five linked work packages. MAP2030 was funded under the cross-research council New Dynamics of Ageing initiative. It was a collaboration between teams at the London School of Economics, London School of Hygiene and Tropical Medicine, the University of East Anglia, the University of Leicester and the Pensions Policy Institute. Several of the researchers involved in this project were appointed as members of the academic advisory panel for the Commission on Funding Care and Support chaired by Andrew Dilnot. New analysis was undertaken for the Commission and used by them in coming to their recommendations. The ESRC used the project as an exemplar impact case study.
The role and effectiveness of disability benefits for older people. With funding from the Nuffield Foundation this project undertook detailed analysis to investigate the determinants of receipt of disability benefits by older people and to estimate the extra personal costs that disability brings. It was a collaboration between the Health economics Group at UEA, the Institute of Social and Economic Research at Essex and the University of Sheffield.