The Wear and Tear on Health: What is the Role of Occupation?

While it seems evident that occupations affect health, effect estimates are scarce. We use a job characteristics matrix in order to characterize occupations by their physical and psychosocial burden in German panel data spanning 26 years. Employing a dynamic model to control for factors that simultaneously affect health and selection into occupation, we find that manual work and low job control both have a substantial negative effect on health that increases with age. The effects of late career exposure to high physical demands and low control at work are comparable to health deterioration due to aging by 16 and 23 months respectively

The effects of supported housing for individuals with mental disorders

Societies face the challenge of providing appropriate arrangements for individuals who need living support due to their mental disorders. We estimate the effects of eligibility to the Dutch supported housing program (Beschermd Wonen), which offers a structured living environment in the community as an intermediate alternative to independent housing and inpatient care. For this, we use exogenous variation in eligibility based on conditionally random assignment of applications to assessors, and the universe of applications to supported housing in the Netherlands, linked to rich administrative data. Supported housing eligibility increases the probability of moving into supported housing and decreases the use of home care, resulting in higher total care expenditures. This increase is primarily due to the costs of supported housing, but potentially also higher consumption of curative mental health care. Supported housing eligibility reduces the total personal income and income from work. Findings do also suggest lower participation in the labor market by the individuals granted eligibility, but the labor participation of their parents increases in the long‐run. Our study highlights the trade‐offs of access to supported housing for those at the margin of eligibility, informing the design of long‐term mental health care systems around the world

Long-term collateral effects of parent programs on child maltreatment proxies:Can administrative data provide useful insights?

Collecting child maltreatment data from participants is expensive and time-consuming, and often suffers from substantial attrition rates. Administrative population data may prove fruitful to overcome these barriers. The aim of this study was twofold: (1) to illustrate how administrative data may be used in evaluating long-term intervention effects; and (2) to examine collateral effects of three preventive early childhood interventions offered to families in the Netherlands (Supportive Parenting, VoorZorg, and Incredible Years). Using population data, four proxies of child maltreatment were assessed to examine collateral intervention effects: incidences of child protection orders, placements of children in residential care, crime victimization of children or their parents, and parental registrations as a crime suspect. The results revealed no significant differences between experimental and control conditions on any of these proxies, with very small effect sizes (ranging from Cramer's V = 0.01 to Cramer's V = 0.10). We conclude that the results do not provide support for collateral effects, but that studying other outcomes may provide this support. We further discuss that small sample sizes and low prevalences challenge studies using administrative data. Notwithstanding these limitations, we conclude that administrative data can strengthen the evidence base for collateral and direct intervention effects.</p