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This paper develops an estimator for higher-order spatial autoregressive panel data error component models with spatial …
Persistent link: https://www.econbiz.de/10003808637
This paper extends the transformed maximum likelihood approach for estimation of dynamic panel data models by Hsiao …
Persistent link: https://www.econbiz.de/10009570680
This paper considers a class of GMM estimators for general dynamic panel models, allowing for cross sectional …
Persistent link: https://www.econbiz.de/10011298538
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive …
Persistent link: https://www.econbiz.de/10010358963
Measurement error causes a downward bias when estimating a panel data linear regression model. The panel data context …
Persistent link: https://www.econbiz.de/10010472669
-Bond GMM estimation techniques for single dynamic panel data models with possibly endogenous regressors and cross …
Persistent link: https://www.econbiz.de/10010476668
This paper develops a model for dynamic binary choice panel data that allows for unobserved heterogeneity to be … finite sample performance of our GMM estimators. -- dynamic discrete choice ; fixed effects ; panel data ; initial values …
Persistent link: https://www.econbiz.de/10009687207
the estimation of long-run effects in dynamic heterogeneous panel data models with cross-sectionally dependent errors. The …
Persistent link: https://www.econbiz.de/10010212372
This paper considers the problem of identification, estimation and inference in the case of spatial panel data models …
Persistent link: https://www.econbiz.de/10011983664
approach can be applied to estimation of a variety of models such as spatial and dynamic panel data models. In this paper we … focus on the latter and consider both univariate and multivariate panel data models with short time dimension. Simple Bias …
Persistent link: https://www.econbiz.de/10011735967