System GMM estimation with a small sample
| Contribuinte(s) |
Universitat Autònoma de Barcelona. Unitat de Fonaments de l'Anàlisi Econòmica Institut d'Anàlisi Econòmica |
|---|---|
| Data(s) |
02/11/2009
|
| Resumo |
Properties of GMM estimators for panel data, which have become very popular in the empirical economic growth literature, are not well known when the number of individuals is small. This paper analyses through Monte Carlo simulations the properties of various GMM and other estimators when the number of individuals is the one typically available in country growth studies. It is found that, provided that some persistency is present in the series, the system GMM estimator has a lower bias and higher efficiency than all the other estimators analysed, including the standard first-differences GMM estimator. |
| Formato |
27 205427 bytes application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Relação |
Working papers; 780.09 |
| Direitos |
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat, la unitat i l’institut i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/) |
| Palavras-Chave | #Desenvolupament econòmic #Econometria |
| Tipo |
info:eu-repo/semantics/workingPaper |
