Computing Generalized Method of Moments and Generalized Empirical Likelihood with R

This paper shows how to estimate models by the generalized method of moments and the generalized empirical likelihood using the <b>R</b> package <b>gmm<b/>. A brief discussion is offered on the theoretical aspects of both methods and the functionality of the package is presen...

Full description

Bibliographic Details
Main Author: Pierre Chaussé
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2010-10-01
Series:Journal of Statistical Software
Subjects:
Online Access:http://www.jstatsoft.org/v34/i11/paper
_version_ 1811282104628019200
author Pierre Chaussé
author_facet Pierre Chaussé
author_sort Pierre Chaussé
collection DOAJ
description This paper shows how to estimate models by the generalized method of moments and the generalized empirical likelihood using the <b>R</b> package <b>gmm<b/>. A brief discussion is offered on the theoretical aspects of both methods and the functionality of the package is presented through several examples in economics and finance.
first_indexed 2024-04-13T01:46:49Z
format Article
id doaj.art-c735f9f5faf6425c8e68470ece2fe795
institution Directory Open Access Journal
issn 1548-7660
language English
last_indexed 2024-04-13T01:46:49Z
publishDate 2010-10-01
publisher Foundation for Open Access Statistics
record_format Article
series Journal of Statistical Software
spelling doaj.art-c735f9f5faf6425c8e68470ece2fe7952022-12-22T03:08:01ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602010-10-013411Computing Generalized Method of Moments and Generalized Empirical Likelihood with RPierre ChausséThis paper shows how to estimate models by the generalized method of moments and the generalized empirical likelihood using the <b>R</b> package <b>gmm<b/>. A brief discussion is offered on the theoretical aspects of both methods and the functionality of the package is presented through several examples in economics and finance.http://www.jstatsoft.org/v34/i11/papergeneralized empirical likelihoodgeneralized method of momentsempirical likelihoodcontinuous updated estimatorexponential tiltingexponentially tilted empirical likelihoodR
spellingShingle Pierre Chaussé
Computing Generalized Method of Moments and Generalized Empirical Likelihood with R
Journal of Statistical Software
generalized empirical likelihood
generalized method of moments
empirical likelihood
continuous updated estimator
exponential tilting
exponentially tilted empirical likelihood
R
title Computing Generalized Method of Moments and Generalized Empirical Likelihood with R
title_full Computing Generalized Method of Moments and Generalized Empirical Likelihood with R
title_fullStr Computing Generalized Method of Moments and Generalized Empirical Likelihood with R
title_full_unstemmed Computing Generalized Method of Moments and Generalized Empirical Likelihood with R
title_short Computing Generalized Method of Moments and Generalized Empirical Likelihood with R
title_sort computing generalized method of moments and generalized empirical likelihood with r
topic generalized empirical likelihood
generalized method of moments
empirical likelihood
continuous updated estimator
exponential tilting
exponentially tilted empirical likelihood
R
url http://www.jstatsoft.org/v34/i11/paper
work_keys_str_mv AT pierrechausse computinggeneralizedmethodofmomentsandgeneralizedempiricallikelihoodwithr