We identify child-level and parent-level characteristics associated with children's patterns of leaving home. We use a multilevel discrete-time hazards model to examine the impact of family and demographic factors at both levels, and utilize the Alternating Conditional Expectation algorithm optimally to transform the dependent and independent variables. We find that measured variables at both the child and the parent level have important influences, as do period and cohort factors. However, unmeasured parent-level factors have an influence on the departure of children that is broadly similar in magnitude to measured factors.
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