Costs and Benefits

A Review of Research on Take-up of Income-Related Benefits

Dados Bibliográficos

ID14564653
AutoresPeter Craig (0000-0002-7653-5832, autor correspondente)
Ano1991
Volume20
Fascículo4
Páginas537-565
Data de publicação1991-10-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Social Policy (JOURNAL)
Identificadores do periódicoISSN: 0047-2794 • E-ISSN: 1469-7823
EditoraCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0047279400019796
OpenAlexW2022865203
IdiomaEN
Citações recebidas47
Referências citadas13

This paper reviews recent research on take-up with a view to identifying the most promising lines of further enquiry. In the late 1970s take-up research seemed to be foundering in the face of the complexity of the factors affecting claiming decisions. Progress came via the development of models of the claiming process. The most influential postulated a series of thresholds which claimants must pass in a set sequence on the way to claiming a benefit. One question for future research is whether this model is still the best starting point or whether there are others which capture the key factors and their interaction more fully and accurately. Another approach is to look at claiming decisions indirectly by applying multivariate techniques to continuous survey data to examine the relationship between variables such as age, income and housing tenure and differing probabilities of claiming. A second question is what the two approaches can offer each other. Overhanging all the issues facing take-up research is the problem of sampling a population—eligible non-recipients—for which, almost by definition, no suitable sampling frame exists. The paper concludes by examining various options for identifying this elusive group

Actuarial science · Economics · Face (sociological concept) · Frame (networking) · Key (lock) · Multivariate statistics · Point (geometry) · Population · Positive economics · Process (computing) · Public economics · Sampling (signal processing) · Sampling frame · Set (abstract data type) · Social science · Sociology · Computer Science · Economic and Environmental Valuation · Economics of Agriculture and Food Markets · Mathematics · Organic Food and Agriculture