We describe the R np package via a series of applications that may be of interest to applied econometricians. The np package implements a variety of nonparametric and semiparametric kernel-based estimators that are popular among econometricians. There are also procedures for nonparametric tests of significance and consistent model specification tests for parametric mean regression models and parametric quantile regression models, among others. The np package focuses on kernel methods appropriate for the mix of continuous, discrete, and categorical data often found in applied settings. Data-driven methods of bandwidth selection are emphasized throughout, though we caution the user that data-driven bandwidth selection methods can be computati...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
This paper provides a systematic and unified treatment of the developments in the area of kernel est...
This paper provides a systematic and unified treatment of the developments in the area of kernel est...
We describe the R np package via a series of applications that may be of interest to applied econome...
We describe the R np package via a series of applications that may be of interest to applied econome...
We describe the R np package via a series of applications that may be of interest to applied econome...
This book allows those with a basic knowledge of econometrics to learn the main nonparametric and se...
We review different approaches to nonparametric density and regression estimation. Kernel estimators...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical M...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
32 pages, 1 article*An Introduction to Kernel and Nearest Neighbor Nonparametric Regression* (Altman...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
This paper provides a systematic and unified treatment of the developments in the area of kernel est...
This paper provides a systematic and unified treatment of the developments in the area of kernel est...
We describe the R np package via a series of applications that may be of interest to applied econome...
We describe the R np package via a series of applications that may be of interest to applied econome...
We describe the R np package via a series of applications that may be of interest to applied econome...
This book allows those with a basic knowledge of econometrics to learn the main nonparametric and se...
We review different approaches to nonparametric density and regression estimation. Kernel estimators...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
We review different approaches to nonparametric density and regression estimation. Kernel estimators ...
A Practical Guide to Implementing Nonparametric and Rank-Based ProceduresNonparametric Statistical M...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
32 pages, 1 article*An Introduction to Kernel and Nearest Neighbor Nonparametric Regression* (Altman...
The package npbr is the first free specialized software for data edge and frontier analysis in the s...
This paper provides a systematic and unified treatment of the developments in the area of kernel est...
This paper provides a systematic and unified treatment of the developments in the area of kernel est...