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Number of variables and hierarchical structure Perhaps the most fundamental reason is the size of the dataset and its internal relationships. As a rough estimate, there are 500 distinct variables in the full dataset, without taking the time dimension into account. This means that events, spells, variables collected annually and variables collected as many times as applicable are all counted only once — and there are many such variables in the dataset.

Disseminating Data From Longitudinal Surveys: Issues Facing the Survey of Labour and Income Dynamics