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 …

Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of … observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed. In … in panel data is established. The results are illustrated through a simulation study. As a by-product of the developed …

heterogeneity for large linear panel data models. First, we establish the asymptotic validity of the Wald test based on the widely … used panel heteroskedasticity and autocorrelation consistent (HAC) variance estimator of the pooled estimator under random …