Claire Dujardin

Does country influence the health burden of informal care? An international comparison between Belgium and Great Britain

The aim of this paper is to determine whether the association between the provision of informal care and the health status of caregivers is affected by the country of residence. We focus on two European countries, Belgium and Great Britain, and develop a methodology, which consists of matching a subset of areas from Britain with areas in Belgium that are demographically and socioeconomically similar. These pairs of areas are then used as fixed effects in logistic regressions of poor health. This allows us to take into account the influence of area type on health and to remove the influence of these local contextual characteristics from the estimated country effects. Results suggest that, although caregiving is more prevalent in Britain, the health burden associated with heavy caregiving activities is lower in Britain than in Belgium. This may be explained by the better targeting of long-term home care policies towards more severely dependent patients in Britain than in Belgium.

Neighborhood Effects on Unemployment ? A Test à la Altonji

The aim of this paper is to test for the influence of neighborhood deprivation on individual unemployment probability in the case of Lyon (France). We estimate a bivariate probit model of unemployment and location in a deprived neighborhood. Our identification strategy is twofold. First, we instrument neighborhood type by the gender composition of households children and the spouses workplace. Second, we use the methodology proposed by Altonji et al. (2005), that in our case consists in making hypotheses as to the correlation between the unobservables that determine unemployment and the unobservables that influence the selection into neighborhood types. Our results show that the effect of neighborhood deprivation is not significantly different from zero in the bivariate probit with exclusion restrictions. We also show that a correlation of the unobservables as low as ten percent of the correlation of observables is sufficient to explain the positive neighborhood effect that is observed when endogeneity is not accounted for.