In simultaneous equation theory a sample is said to be undersized when it is smaller than the number of exogenous variables. The sample moment matrix of these variables is then singular, but equations can nevertheless be estimated when different moments (hybrid moments based on the Theil-Laitinen maximum entropy distribution) are used. Here we evaluate the adequacy of the asymptotic standard errors formulated in terms of such moments.Entropy exogenous variables simultaneous equations
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
In the estimation of simultaneous equation econometric models, overidentifying restrictions improve ...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
Abstract: Problem statement: All simultaneous equation estimation methods have some desirable asympt...
Asymptotic expansions are made of the distributions of a class of semi-parametric estimators includi...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
AbstractAsymptotic expansions are made for the distributions of the Maximum Empirical Likelihood (ME...
This paper considers the asymptotic behaviour of the ordinary least squares estimator of the coeffic...
This paper provides the practitioner with a method of ascertaining when the concentration parameter ...
In practice structural equations are often estimated by least-squares, thus ne- glecting any simulta...
Asymptotic expansions are made for the distributions of the Maximum Empirical Likelihood (MEL) estim...
In practice structural equations are often estimated by least-squares, thus neglecting any simultane...
In simple static linear simultaneous equation models the empirical distributions of IV and OLS are e...
The Limited Information Maximum Likelihood estimator of the vector of coefficients of a structural e...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
In the estimation of simultaneous equation econometric models, overidentifying restrictions improve ...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...
Abstract: Problem statement: All simultaneous equation estimation methods have some desirable asympt...
Asymptotic expansions are made of the distributions of a class of semi-parametric estimators includi...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
AbstractAsymptotic expansions are made for the distributions of the Maximum Empirical Likelihood (ME...
This paper considers the asymptotic behaviour of the ordinary least squares estimator of the coeffic...
This paper provides the practitioner with a method of ascertaining when the concentration parameter ...
In practice structural equations are often estimated by least-squares, thus ne- glecting any simulta...
Asymptotic expansions are made for the distributions of the Maximum Empirical Likelihood (MEL) estim...
In practice structural equations are often estimated by least-squares, thus neglecting any simultane...
In simple static linear simultaneous equation models the empirical distributions of IV and OLS are e...
The Limited Information Maximum Likelihood estimator of the vector of coefficients of a structural e...
SUMMARY. In this paper we consider the general problem of estimation and inference in stochastic sim...
Procedures based on the Generalized Method of Moments (GMM) are basic tools in modern econometrics. ...
In the estimation of simultaneous equation econometric models, overidentifying restrictions improve ...
The method of maximum entropy is quite a powerful tool to solve the generalized moment problem, whic...