Panel estimates of the determinants of British regional male incapacity benefits rolls 1998–2006

McVicar, Duncan; Anyadike-Danes, Michael

doi:10.1080/00036840802112414

Cited by 4 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Following the literature (Molho , ; Holmes and Lynch ; Lynch ; McVicar and Anyadike‐Danes ), we estimate separate models for males and females. The models are estimated using xtprobit, re in STATA v13.0.…”

Section: Methodsmentioning

confidence: 99%

“…Disney and Webb () used smoking status as the health measure in a study using the Family Expenditure Survey. Faggio and Nickell () and McVicar and Anyadike‐Danes () both used self‐reported disability. Two studies have examined the main health reason for claiming DBs from administrative data.…”

Section: Introductionmentioning

confidence: 99%

“…The number of people claiming incapacity and disability benefits 1 (DB) in Great Britain has increased by over 300 per cent in 30 years (McVicar and Anyadike-Danes 2008). In 2013, DB claimants represented 6.1 per cent of the working-age population (NOMISWEB 2014a).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Measuring the Impacts of Health Conditions on Work Incapacity – Evidence from the British Household Panel Survey

Whittaker

Sutton

2015

Soc Policy Adm

View full text Add to dashboard Cite

The UK has experienced substantial increases in both the number of claimants of work incapacity benefit and the proportion of claims for mental health reasons. However, identifying causality between experiencing mental health problems and claiming benefits is complex as claiming disability benefits may be the instigator or result of having a mental health problem. We use longitudinal data from the British Household Panel Survey (1991–2008) to disentangle the relationship between claiming benefits and mental health problems. We model the probability of claiming disability benefits using a dynamic random‐effects probit model, which reduces the endogeneity bias in modelling the effects of health on claiming disability benefits. Mental health has the largest effect of all health conditions modelled on the probability of disability benefit claiming. We find that the causal effect of mental health on claiming disability benefits is substantially over‐estimated by cross‐sectional associations. The effect decreases in magnitude from 12.5 to 0.5 percentage points for males and 8 to 0.7 percentage points for females. Policymakers should pay attention to other important influences on claiming disability benefits as well as interventions to improve the health of the working‐age population.

show abstract