Socio-economic inequality and healthcare costs over the life course - A dynamic microsimulation approach.

Objectives: Although there is well-established evidence for the existence of socio-economic inequalities in virtually all dimensions of health, little is known about the implications of these socio-economic disparities for healthcare costs from a cumulative life course perspective. Accounting for differentials in healthcare use patterns and mortality, we assess how lifetime costs differ between socio-economic groups.

Study Design: This study used dynamic microsimulation modelling.

The Impact of Health and Education on Labor Force Participation in Aging Societies: Projections for the United States and Germany from Dynamic Microsimulations.

We project the labor force in the United States to 2060 and contrast the outcomes with comparative projections for Germany. In both countries, the population will age, but the demographic dynamics are fundamentally different. According to our dynamic microsimulations, the labor force in the U.

The effect of sample attrition in the EU Statistics on Income and Living Conditions on the estimates of Eurostat's Healthy Life Years.

Eurostat's official Healthy Life Years (HLY) estimates are based on European Union Statistics on Income and Living Conditions (EU-SILC) cross-sectional data. As EU-SILC has a rotational sample design, the largest part of the samples are longitudinal, health-related attrition constituting a potential source of bias of these estimates. Bland-Altman plots assessing the agreement between pairs of HLY based on total and new rotational, representative samples demonstrated no significant, systematic attrition-related bias.

Cross-sectional estimates of population health from the survey of health and retirement in Europe (SHARE) are biased due to health-related sample attrition.

Cross-sectional data from the Survey of Health, Ageing and Retirement in Europe (SHARE) are a common source of information in comparative studies of population health in Europe. In the largest part, these data are based on longitudinal samples, which are subject to health-specific attrition. This implies that estimates of population health based on cross-sectional SHARE datasets are biased as the data are selected on the outcome variable of interest.

Union instability as an engine of fertility? A microsimulation model for France.

Opportunities for conceiving and bearing children are fewer when unions are not formed or are dissolved during the childbearing years. At the same time, union instability produces a pool of persons who may enter new partnerships and have additional children in stepfamilies. The balance between these two opposing forces and their implications for fertility may depend on the timing of union formation and parenthood.