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Summary. We analyse the education–fertility relationship by using data on women from Botswana. A realistic quantification of such a relationship can be problematic for various reasons. First, factors such as motivation and ability are associated with fertility and education but cannot be observed and as a consequence cannot be included in the model. Here, the use of classical estimation methods will...
We consider the effect of non‐ignorable dropout in the analysis of residential mobility in household panel surveys. To investigate the effect of such dropout, we consider two types of selection model: the first allows dropout to depend directly on the individual's potentially missing moving status, and the second is a Heckman‐type selection model with correlated errors. We discuss the identification...
Estimation of the effect of a treatment in the presence of unmeasured confounding is a common objective in observational studies. The two‐stage least squares instrumental variables procedure is frequently used but is not applicable to time‐to‐event data if some observations are censored. We develop a simultaneous equations model to account for unmeasured confounding of the effect of treatment on survival...
Mediation analysis seeks to understand the mechanism by which a treatment affects an outcome. Count or zero‐inflated count outcomes are common in many studies in which mediation analysis is of interest. For example, in dental studies, outcomes such as the number of decayed, missing and filled teeth are typically zero inflated. Existing mediation analysis approaches for count data often assume sequential...
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