Many IVs estimation of dynamic panel regression models with measurement error
Document Type
Article
Publication Date
10-1-2017
Abstract
In this paper, we investigate a dynamic linear panel regression model with measurement error. We consider the panel data estimation whose time dimension (T) is not small and comparable to the cross sectional dimension (N). First, we show that the 2SLS estimator suffers from the bias problem due to many instrumental variables. Using the alternative asymptotics where [Formula presented] goes to a constant as N,T→∞, we characterize its asymptotic bias due to many IVs. As a bias reduction method, we investigate the JIVE and derive its limiting distribution under the alternative asymptotics.
Publication Source (Journal or Book title)
Journal of Econometrics
First Page
251
Last Page
259
Recommended Citation
Lee, N., Moon, H., & Zhou, Q. (2017). Many IVs estimation of dynamic panel regression models with measurement error. Journal of Econometrics, 200 (2), 251-259. https://doi.org/10.1016/j.jeconom.2017.06.009