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pdynmc - An R-package for estimating linear dynamic panel data models based on linear and nonlinear moment conditions
Markus Fritsch, Andrew Adrian Pua, Joachim Schnurbus
2488 20190709 () Views:24164
pdynmc is an R-package for IV- and GMM-estimation of linear dynamic panel data models that are based on linear and nonlinear moment conditions as proposed by Anderson and Hsiao (1982), Holtz-Eakin, Newey, and Rosen (1988), Arellano and Bover (1995), and Ahn and Schmidt (1995). This paper describes the functionality of the package and the options regarding instrument type, covariate type, estimation methodology, general configuration, specification testing and inference from the perspective of an applied statistician. The illustrations are based on a publicly available panel data set. Additionally, we link our implementation to other software and packages for GMM-estimation of linear dynamic panel data models.
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