Template-type: ReDif-Paper 1.0
Author-Name: Lokshin Boris 
Author-workplace-name: METEOR
Title: Monte-Carlo comparison of alternative estimators for dynamic panel data models
Abstract: This paper compares the performance of three recently proposed estimators for dynamic panel data models (LSDV bias-corrected, MLE and MDE) along with GMM. Using Monte-Carlo, we find that MLE and biascorrected estimators have the smallest bias and are good alternatives for the GMM. System-GMM outperforms the rest in ‘difficult’ designs. Unfortunately, bias-corrected estimator is not reliable in these designs which may limit its applicability.
Keywords: econometrics; 
Series: Research Memoranda
Creation-Date: 2006
Number: 014
File-URL: http://digitalarchive.maastrichtuniversity.nl/fedora/objects/guid:2418d2e9-b93e-4a41-a97e-3609b2524b6a/datastreams/ASSET1/content
File-Format: application/pdf
File-Size: 136865
Handle: RePEc:unm:umamet:2006014