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Censored regression model

Known as: Censored regression models 
Censored regression models commonly arise in econometrics in cases where the variable of interest is only observable under certain conditions. A… Expand
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Highly Cited
2009
Highly Cited
2009
Under a quantile restriction, randomly censored regression models can be written in terms of conditional moment inequalities. We… Expand
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  • table V
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2008
2008
This note illustrates that the typical parameter, beta, in a censored regression model can be used to calculate an interesting… Expand
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Highly Cited
2007
Highly Cited
2007
Suppose that we are interested in establishing simple but reliable rules for predicting future t-year survivors through censored… Expand
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2002
2002
Let (X, Y ) be a random vector, where Y denotes the variable of interest, possibly subject to random right censoring, and X is a… Expand
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Highly Cited
1999
Highly Cited
1999
Consider a heteroscedastic regression model $Y = m(X) + \sigma(X)\varepsilon$, where the functions $m$ and $\sigma$ are "smooth… Expand
  • figure 1
  • figure 2
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1994
1994
This paper discusses the inter- pretation of coefficients in censored regression mode/s. Although a substantial amount of… Expand
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1994
1994
Discontinuous relationships between variables are common in biological data. Discontinuities can sometimes give the appearance of… Expand
  • table 2
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Highly Cited
1992
Highly Cited
1992
We consider the Bayes estimation of the Tobit censored regression model with normally distributed errors. A simple condition for… Expand
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Highly Cited
1992
Highly Cited
1992
This paper considers estimation of truncated.and censored regression models with fixed effects. Up until now, no estimator has… Expand
  • figure 2-5
  • table I
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  • table 111
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Highly Cited
1984
Highly Cited
1984
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censored regression (or censored… Expand
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