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Truncated regression model

Truncated regression models arise in many applications of statistics, for example in econometrics, in cases where observations with values in the… Expand
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Papers overview

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2017
2017
The goal of this research is to evaluate the innovative teaching to affect school efficiency through using digital mobile e… Expand
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Highly Cited
2014
Highly Cited
2014
Between 2001 and 2005, the US airline industry faced financial turmoil while the European airline industry entered a period of… Expand
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2014
2014
This paper investigates the association between the performance of bank holding companies (BHCs) and their intellectual capital… Expand
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2009
2009
Survivorship bias pushes the performance of funds upwards. Least squares methods often fail for …nancial data that have… Expand
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2008
2008
In this paper, we study the asymptotic normality of the conditional maximum likelihood (ML) estimators for the truncated… Expand
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2008
2008
In this paper we examine more closely the factors associated with production inefficiency in China’s agriculture. The approach we… Expand
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2007
2007
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coefficients in a… Expand
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2007
2007
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coefficients in a… Expand
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Highly Cited
2000
Highly Cited
2000
We develop and estimate a model of supply response when transactions costs create a situation where some producers buy, others… Expand
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2000
2000
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coeecients in the censored… Expand
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