Identification and Estimation of a Partially Linear Regression Model Using Network Data

Efficient Semiparametric Estimation of a Partially Linear Quantile Regression Model

This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear+ The paper develops a simple estimator of the parametric component of the conditional quantile+ The semiparametric efficiency bound for the parametric component is derived, and two types of efficient estimators are considered+ Asymptotic properties of the proposed estimators are establ...

Estimation of Count Data using Bivariate Negative Binomial Regression Models

Abstract Negative binomial regression model (NBR) is a popular approach for modeling overdispersed count data with covariates. Several parameterizations have been performed for NBR, and the two well-known models, negative binomial-1 regression model (NBR-1) and negative binomial-2 regression model (NBR-2), have been applied. Another parameterization of NBR is negative binomial-P regression mode...

Comparing The ANN And Linear Regression In Estimation Of The Growth Model (The Case Of MENA)

Nonparametric Regression Estimation under Kernel Polynomial Model for Unstructured Data

The nonparametric estimation(NE) of kernel polynomial regression (KPR) model is a powerful tool to visually depict the effect of covariates on response variable, when there exist unstructured and heterogeneous data. In this paper we introduce KPR model that is the mixture of nonparametric regression models with bootstrap algorithm, which is considered in a heterogeneous and unstructured framewo...

Semiparametric Estimation of a Partially Linear Censored Regression Model Author(s):

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