This paper proposes weighted method of moments for estimating over-identified moment condition models. Weighted method of moments is asymptotically equivalent to, but may have better finite sample properties than generalized method of moments and empirical likelihood.Moment condition models Weighted method of moments Small sample properties
The generalized method of moments (GMM) is the centrepiece of semiparametric estimation frameworks. ...
In this paper, we propose a new class of asymptotically efficient estimators for moment condition mo...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
This paper proposes consistent moment selection procedures for generalized method of moments estimat...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
GEL methods that generalize and extend previous contributions are defined and analyzed for moment co...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
This paper proposes an estimator combining empirical likelihood (EL) and the generalized method of m...
Model reduction by moment-matching relies upon the availability of the so-called moment. If the syst...
We present a computational approach to the method of moments using Monte Carlo simulation. Simple al...
The topic of this bachelor thesis is the Generalized Method of Moments (GMM), its asymptotic propert...
Using many moment conditions can improve efficiency but makes the usual generalized method of moment...
Efficient method of moments estimation techniques include many commonly used techniques, including o...
The generalized method of moments (GMM) is the centrepiece of semiparametric estimation frameworks. ...
In this paper, we propose a new class of asymptotically efficient estimators for moment condition mo...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
This paper proposes consistent moment selection procedures for generalized method of moments estimat...
We describe an intuitive, simple, and systematic approach to generating moment conditions for genera...
International audienceThis paper proposes consistent moment selection procedures for generalized met...
GEL methods that generalize and extend previous contributions are defined and analyzed for moment co...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
This paper proposes an estimator combining empirical likelihood (EL) and the generalized method of m...
Model reduction by moment-matching relies upon the availability of the so-called moment. If the syst...
We present a computational approach to the method of moments using Monte Carlo simulation. Simple al...
The topic of this bachelor thesis is the Generalized Method of Moments (GMM), its asymptotic propert...
Using many moment conditions can improve efficiency but makes the usual generalized method of moment...
Efficient method of moments estimation techniques include many commonly used techniques, including o...
The generalized method of moments (GMM) is the centrepiece of semiparametric estimation frameworks. ...
In this paper, we propose a new class of asymptotically efficient estimators for moment condition mo...
The generalized method of moments (GMM) is an extremely popular estimation technique in empirical wo...