Predictions, Explanations and Causal Effects from Longitudinal Data

Researchers across the social sciences who are interested in change and development can now draw on a rich array of longitudinal resources to help them answer their questions. The combination of theory, data and modern methods of statistical analysis can be used to describe, to predict and to generate causal explanations. This lecture explores these uses of longitudinal data with illustrations from the recent and more distant past.