In Advances in life course research
Studies have shown that father absence in opposite-gender couples has detrimental effects on children's wellbeing, net of selection bias. However, life course informed research suggests that the problem of selection bias may be more complex than currently thought. This paper shows the importance of nonparametrically adjusting for the trajectory of confounder covariates for the estimation of these effects. This paper uses data from the Fragile Families and Child Wellbeing Study to estimate the total effect of the departure of the biological father on children's wellbeing, as well as delayed or fade-out effects of this transition. The paper employs Bayesian additive regression trees, a machine learning and causal inference method suited for statistical models involving high-dimensional data sets. After adjusting for multiple time-invariant and -varying confounder covariates, as well as their history, estimates of father absence's effect on children's wellbeing are reduced substantially, a finding which may be referred to as life course selection bias. Results suggest early and middle childhood are not negatively affected by the departure of the biological father. Life course selection bias mostly affects estimates of this effect on adolescence, which is explained by children directly experiencing changes inparent's socioeconomic trajectories that lead to divorce or separation. This would not be the case when father absence is experienced in early childhood. Results suggest father absence is mostly a marker of life course cumulative socioeconomic disadvantage, not a cause of negative effects.
RodrÃguez Sánchez Alejandra
2022-Mar
Adolescence, Causality, Childhood, Family demography, Family instability, Life course, Social inequality
