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The Arellano and Bond (1991) estimator is widely-used among applied researchers when estimating dynamic panels with fixed effects and predetermined regressors. This estimator might behave poorly in finite samples when the cross-section dimension of the data is small (i.e. small N), especially if...
Persistent link: https://www.econbiz.de/10012964701
This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous … decomposition of the reduced form residuals. The panel nature of the data allows adjustment, and testing, for two forms of …
Persistent link: https://www.econbiz.de/10012783466
functions for the panel probit model. The analysis is motivated by the complexity of maximum likelihood estimation and the … is unnecessary. In this note, we reconsider maximum likelihood based estimation of their panel probit model then examine … some extensions which can exploit the heterogeneity contained in their panel data set. Empirical results are obtained using …
Persistent link: https://www.econbiz.de/10012769250
Modeling and estimating autocorrelated discrete data can be challenging. In this paper, we use an autoregressive panel …
Persistent link: https://www.econbiz.de/10012871277
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive …
Persistent link: https://www.econbiz.de/10013052017
This paper proposes the transformed maximum likelihood estimator for short dynamic panel data models with interactive …
Persistent link: https://www.econbiz.de/10013053341
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