Truncated regression model

Truncated regression models arise in many applications of statistics, for example in econometrics, in cases where observations with values in the… (More)
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Topic mentions per year

1996-2016
01219962016

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2016
2016
Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the… (More)
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2016
2016
Little attention has been paid to international ecological efficiency, especially taking ecological footprint (EF), labor, and… (More)
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2014
2014
This paper investigates the association between the performance of bank holding companies (BHCs) and their intellectual capital… (More)
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2011
2011
This study analyses the technical efficiency of Saudi banks using a two-stage DEA-data envelopment analysis approach. In the… (More)
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2009
2009
  • Aurobindo Ghosh
  • 2009
Survivorship bias pushes the performance of funds upwards. Least squares methods often fail for …nancial data that have… (More)
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2008
2008
In this paper, we study the asymptotic normality of the conditional maximum likelihood (ML) estimators for the truncated… (More)
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2008
2008
SUMMARY The contingent valuation (CV) method is an attractive approach for comparing home care to hospital care in which the only… (More)
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2002
2002
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of the coefficients in a… (More)
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2002
2002
  • Stephen R. Cosslett
  • 2002
This paper considers estimation of the linear regression model and of the binary choice model from endogenously stratified… (More)
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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… (More)
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