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...
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 |
Similar Items
-
Exponential tilted likelihood for stationary time series models
by: Xiuzhen Zhang, et al.
Published: (2022-08-01) -
Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates
by: Wang, Shanshan, et al.
Published: (2016) -
A Robust Version of the Empirical Likelihood Estimator
by: Amor Keziou, et al.
Published: (2021-04-01) -
Improving Probability-Weighted Moment Methods for the Generalized Extreme Value Distribution
by: Jean Diebolt, et al.
Published: (2008-03-01) -
Information Theory Estimators for the First-Order Spatial Autoregressive Model
by: Evgeniy V. Perevodchikov, et al.
Published: (2012-07-01)