Intergenerational health mobility: Evidence from Danish registers.

Abstract

This paper is one of the first to investigate mobility in overall health using high-quality administrative data. The attractiveness of this approach lies in objective health measures and large sample sizes allowing twin analyses. I operationalize health mobility by a variety of statistics: rank-rank slopes, intergenerational correlations (IGCs) and sibling and identical twin correlations. I find rank-rank slopes and IGCs in the range 0.11-0.15 and sibling correlations in the range 0.14-0.20. Mobility in health is thus relatively high, both when compared to similar US-based studies, and when contrasted with outcomes such as educational attainment and income. Comparing sibling and identical twin correlations with parent-child associations confirms earlier findings in the literature on equality of opportunity, namely that sibling correlations capture far more variation than traditional IGCs. I conclude that 14%-38% of the variation in individual health outcomes can be attributed to family background and genes, factors which the individual cannot be held accountable for. This finding suggests that simple parent-child associations may be a poor metric for measuring health mobility.