In this paper, the author reviews and explores the nonparametric density estimation approach for analyzing various econometric func tionals. The applications of density estimation are emphasized in the specification, estimation, and testing problems arising in econometr ics. Some limitations of...

In this study, non-parametric kernel estimation technique has been employed to estimate import and export price elasticities for six developed countries. Based on the estimates of these elasticities Marshall-Lerner condition has been examined. In general the condition is only partially satisfied...

In this article we define a class of estimators for a nonparametric regression model with the aim of reducing bias. The estimators in the class are obtained via a simple two-stage procedure. In the first stage, a potentially misspecified parametric model is estimated and in the second stage the...

In this paper a semiparametric fixed effect estimator is proposed in a partial linear model. The estimator is applied to study the immigrants home-link effect on the U.S. producer trade flows with the home country of the immigrant. The results from this study show that the immigrants support the...

A unified framework for various nonparametric kernel regression estimators is presented, based on which we consider two nonparametric tests for neglected nonlinearity in time series regression models. One of them is the goodness-of-fit test of Cai, Fan, and Yao (2000) and another is the...