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censored least squares (SCLS), and partially adaptive estimators. CLAD and SCLS will be consistent in the presence of …Data censoring causes ordinary least squares estimators of linear models to be biased and inconsistent. The Tobit …-normality or heteroskedasticity results in the Tobit estimators being inconsistent. Various estimators have been proposed for …
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The literature on skill-biased technological change concentrates on highly skilled and unskilled employees. It is unclear, however, if the employment opportunities of the majority of the labour force in Germany-employees with a degree from the dual apprenticeship system-increase or not. In...
Persistent link: https://www.econbiz.de/10010297747
The literature on skill-biased technological change concentrates on highly skilled and unskilled employees. It is unclear, however, if the employment opportunities of the majority of the labour force in Germany-employees with a degree from the dual apprenticeship system-increase or not. In...
Persistent link: https://www.econbiz.de/10005097772
The literature on skill-biased technological change concentrates on highly skilled and unskilled employees. It is unclear, however, if the employment opportunities of the majority of the labour force in Germany-employees with a degree from the dual apprenticeship system-increase or not. In...
Persistent link: https://www.econbiz.de/10011445926
This paper constructs estimators for panel data regression models with individual specific heterogeneity and two-sided censoring and truncation. Following Powell (1986) the estimation strategy is based on moment conditions constructed from re-censored or re-truncated residuals. While these...
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We show that a sufficient condition for the identification ofall parameters of the censored regression model with astochastic and unobserved threshold is that the errors are jointlynormally distributed. Exclusion restrictions are not needed.
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