Dynamic Panel Data Models


This entry discusses dynamic panel data (DPD) models: A set of econometric methods widely used to analyze the behavior of firms, households, or countries over a period of time. These models’ dynamic nature refers to the notion that the units being observed are adjusting along a trajectory, so that their outcome at a point in time is related to its previous value as well as other relevant factors. The most common method of DPD modeling, the Arellano-Bond method employing the generalized method of moments estimation technique, is described, and its empirical implementation illustrated in the context of the Stata statistical programming language.

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