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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
2015
2015
In this paper we consider identification and estimation of a nonparametric location scale model. We first use the truncated data… Expand
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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2009
2009
This paper provides empirical evidence of production risk impact on sustainable land- management technology adoption, using two… Expand
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Review
2009
Review
2009
Participation in commercial agriculture holds considerable potential for unlocking suitable opportunity sets necessary for… 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
2007
2007
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coefficients in a… Expand
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
2000
2000
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coeecients in the censored… Expand