The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009 … replaced by a data-driven statistical decision. -- Dynamic Panel Data ; Generalised Method of Moments ; Instrument …

The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009 … replaced by a data-driven statistical decision. -- Dynamic panel data ; generalised method of moments ; instrument …

The well-known problem of too many instruments in dynamic panel data GMM is dealt with in detail in Roodman (2009 …

-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross …

This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial …

We propose four different GMM estimators that allow almost consistent estimation of the structural parameters of panel …

that the bootstrap outperforms Parks's top competitor. The Parks estimator has been a workhorse for the analysis of panel …-section data 1995) developed an approach that uses the Prais-Winsten estimator together with "panel corrected standard errors … demonstrate its effectiveness using an innovative experimental approach that creates artificial panel datasets modelled after …

has been a workhorse for the analysis of panel data and seemingly unrelated regression equation systems because it allows … Katz (1995) developed an approach that uses the Prais-Winsten estimator together with “panel corrected standard errors … demonstrate its effectiveness using an experimental approach that creates artificial panel datasets modelled after actual panel …