Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/204584
Authors: 
Fritsch, Markus
Pua, Andrew Adrian Yu
Schnurbus, Joachim
Year of Publication: 
2019
Series/Report no.: 
Passauer Diskussionspapiere - Betriebswirtschaftliche Reihe No. B-39-19
Abstract: 
pdynmc is an R-package for 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, estimation methodology, general configuration, specification testing and inference from the perspective of an applied statistician. The description of the functionality is based on replicating the results 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.
Subjects: 
panel data
linear dynamic model
generalized method of moments
linear moment conditions
nonlinear moment conditions
R
JEL: 
C23
C87
Document Type: 
Working Paper

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