In recent years, we have seen an explosion of data collected from individuals, organisations and countries, across varying periods of time. This type of data allows us to study the dynamics of change while controlling for time-invariant unobserved heterogeneity. This heterogeneity usually takes the form of individual-specific fixed effects and this creates problems relating to identification, estimation, and inference, especially if we continue to apply default procedures to panel data without modification. This problem, the incidental parameter problem in panel data models, is the central focus of Andrew Pua’s research.
A.A.Y. Pua: Responses to the Incidental Parameter Problem.
Prof. H.P. Boswijk
Prof. S. Van Bellegem
Dr M.J.G. Bun
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