gmm: Generalized Method of Moments and Generalized Empirical
Likelihood
It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).	
| Version: | 
1.6-6 | 
| Depends: | 
R (≥ 2.10.0), sandwich | 
| Imports: | 
stats, methods, grDevices, graphics | 
| Suggests: | 
knitr, mvtnorm, car, stabledist, MASS, timeDate, timeSeries | 
| Published: | 
2021-03-05 | 
| Author: | 
Pierre Chausse | 
| Maintainer: | 
Pierre Chausse  <pchausse at uwaterloo.ca> | 
| License: | 
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| NeedsCompilation: | 
yes | 
| Citation: | 
gmm citation info  | 
| Materials: | 
NEWS  | 
| In views: | 
Econometrics, Finance | 
| CRAN checks: | 
gmm results | 
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