This paper establishes the identifiability of the parameters of the Box-Cox model under restrictions that do not require the disturbance in the model to be independent of the explanatory variables. The proposed restrictions are semiparametric in nature: they restrict the support of the conditional distribution of the disturbance but do not require the latter to be known
We state a sufficient condition for the global identification of a single-factor model when some con...
A general definition of a conditional model is proposed through embedding that concept into the usua...
The asymmetry of residuals about the origin is a severe issue in estimating a Box-Cox transformed mo...
This note derives primitive conditions for global identification in nonlinear simultaneous equations...
This paper presents new identifiability conditions for the Cox proportional hazard model for duratio...
A proportional hazards model with varying coefficients allows one to examine the extent to which cov...
In this paper we study the identifiability of nonparametric models, that is, models in which both th...
When one wants to estimate a model without specifying the functions and distributions parametrically...
This paper derives necessary and sufficient conditions for nonparametric transformation models to be...
Abstract: In this thesis, we give a general construction of a conditional model through embedding th...
This paper shows how to estimate a model in which an unknown transformation of the dependent variabl...
Abstract. This paper derives necessary and sufficient conditions for nonpara-metric transformation m...
A proportional hazards model with varying coefficients allows one to examine the extent to which cov...
It is a typical situation in modern modeling that a total model is built up from simpler submodels, ...
In this paper, we study the identification of a particular case of the 3PL model, namely when the di...
We state a sufficient condition for the global identification of a single-factor model when some con...
A general definition of a conditional model is proposed through embedding that concept into the usua...
The asymmetry of residuals about the origin is a severe issue in estimating a Box-Cox transformed mo...
This note derives primitive conditions for global identification in nonlinear simultaneous equations...
This paper presents new identifiability conditions for the Cox proportional hazard model for duratio...
A proportional hazards model with varying coefficients allows one to examine the extent to which cov...
In this paper we study the identifiability of nonparametric models, that is, models in which both th...
When one wants to estimate a model without specifying the functions and distributions parametrically...
This paper derives necessary and sufficient conditions for nonparametric transformation models to be...
Abstract: In this thesis, we give a general construction of a conditional model through embedding th...
This paper shows how to estimate a model in which an unknown transformation of the dependent variabl...
Abstract. This paper derives necessary and sufficient conditions for nonpara-metric transformation m...
A proportional hazards model with varying coefficients allows one to examine the extent to which cov...
It is a typical situation in modern modeling that a total model is built up from simpler submodels, ...
In this paper, we study the identification of a particular case of the 3PL model, namely when the di...
We state a sufficient condition for the global identification of a single-factor model when some con...
A general definition of a conditional model is proposed through embedding that concept into the usua...
The asymmetry of residuals about the origin is a severe issue in estimating a Box-Cox transformed mo...