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corrects for spatially correlated errors in static panel data models, by introducing a spatial lag and a one-period lag of the … the dynamic panel data model GMM estimators of Arellano and Bond (1991) and Blundell and Bond (1998) and supplementing the … dynamic panel data estimators. The performance of these spatial dynamic panel data estimators is investigated by means of …
Persistent link: https://www.econbiz.de/10014200234
In this paper we investigate a dynamic linear panel regression model with measurement error. We consider the panel data …
Persistent link: https://www.econbiz.de/10014134004
The paper focuses on standard error estimation in FE models if there is serial correlation in the error process. Applied researchers have often ignored the problem, probably because major statistical packages do not estimate robust standard errors in FE models. Not surprisingly, this can lead to...
Persistent link: https://www.econbiz.de/10014069458
This paper develops a simulation estimation algorithm that is particularly useful for estimating dynamic panel data …
Persistent link: https://www.econbiz.de/10014075292
This paper proposes a minimum distance (MD) estimator to estimate panel regression models with measurement error. The …
Persistent link: https://www.econbiz.de/10013355213
Persistent link: https://www.econbiz.de/10014388982
The rich dependency structure of panel data can be exploited to generate moment conditions that can be used to identify … to identifying moment conditions in a static panel data setting, how suitably chosen linear combinations of lagged and … lead values of the dependent variable can be used as instrumental variables in a dynamic panel data with measurement errors …
Persistent link: https://www.econbiz.de/10014169274
Persistent link: https://www.econbiz.de/10015065770
Persistent link: https://www.econbiz.de/10010252381
panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and … dynamic autoregressive models. The main results are then generalized for higher dimensional panel data sets as well. …
Persistent link: https://www.econbiz.de/10010492323