Ha .. rdle and Stoker (1989), Powell, et al. (1989), and Stoker (1991) have developed average derivative estimators of the parameter in the singleindex model E(Y X=x) = G(x ), where G is an unknown function and X is a random vector. These estimators are non-iterative and, therefore, easy to compute. However, they require X to be continuously distributed, which precludes their use in many applications. This paper develops a noniterative, easily computed estimator of for models in which some components of X are discrete. Coefficients of continuous components of X are obtained using average derivative techniques. Coefficients of discrete components are obtained from differences between certain integrals of G. The estimator is n 1/2 -consiste...
The identification in a nonseparable single-index models with correlated random effects is considere...
Two Essays on Single-index Models Single-index models, in the simplest form E(y|x) = g(xTb), genera...
In this paper, we generalize the single-index models to the scenarios with random effects. The intro...
This paper proposes a semiparametric estimator for single- and multiple index models.It provides an ...
textabstractThis paper proposes a semiparametric estimator for single- and multiple index models. It...
We propose an easy to use derivative-based two-step estimation procedure for semiparametric index mo...
We propose a new method of estimating the index coefficients in a single index model which is based ...
We propose an easy to use derivative based two-step estimation procedure for semi-parametric index m...
RECEIV 7 This paper studies the estimation of coefficients ^ in single index models such that E(y | ...
Generalized single-index models are natural extensions of linear models and circumvent the so-called...
We consider a semiparametric single-index model and suppose that endogeneity is present in the expla...
Abstract: The identification of parameters in a nonseparable single-index models with correlated ran...
Summary Most dimension reduction models are suited for continuous but not for discrete covariates. A...
We consider a semiparametric single-index model and suppose that endogeneity is present in the expla...
USA For the class of single-index models, I construct a semiparametric estimator of coefficients up ...
The identification in a nonseparable single-index models with correlated random effects is considere...
Two Essays on Single-index Models Single-index models, in the simplest form E(y|x) = g(xTb), genera...
In this paper, we generalize the single-index models to the scenarios with random effects. The intro...
This paper proposes a semiparametric estimator for single- and multiple index models.It provides an ...
textabstractThis paper proposes a semiparametric estimator for single- and multiple index models. It...
We propose an easy to use derivative-based two-step estimation procedure for semiparametric index mo...
We propose a new method of estimating the index coefficients in a single index model which is based ...
We propose an easy to use derivative based two-step estimation procedure for semi-parametric index m...
RECEIV 7 This paper studies the estimation of coefficients ^ in single index models such that E(y | ...
Generalized single-index models are natural extensions of linear models and circumvent the so-called...
We consider a semiparametric single-index model and suppose that endogeneity is present in the expla...
Abstract: The identification of parameters in a nonseparable single-index models with correlated ran...
Summary Most dimension reduction models are suited for continuous but not for discrete covariates. A...
We consider a semiparametric single-index model and suppose that endogeneity is present in the expla...
USA For the class of single-index models, I construct a semiparametric estimator of coefficients up ...
The identification in a nonseparable single-index models with correlated random effects is considere...
Two Essays on Single-index Models Single-index models, in the simplest form E(y|x) = g(xTb), genera...
In this paper, we generalize the single-index models to the scenarios with random effects. The intro...