A generalized maximum entropy estimator is developed for the linear simultaneous equations systems model. We provide results on large and small sample properties of the estimator. Empirical results illustrate efficiency advantages of the generalized maximum entropy estimator proposed in this study over traditional estimators (e.g., 2SLS and 3SLS).Research Methods/ Statistical Methods,
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfall...
We develope a multigroup structural equation model (SEM) based on the generalized maximum entropy (G...
A generalized maximum entropy estimator is developed for the linear simultaneous equations systems m...
The generalized maximum entropy (GME) estimator was introduced by Golan et al. as a way to overcome ...
This paper introduces the general multilevel models and discusses the generalized maximum entropy (G...
The origin of entropy dates back to 19th century. In 1948, the entropy concept as a measure of uncer...
EnThe aim of this work is to show an integrated approach for using the Structural Equation Model (SE...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls...
We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (...
Structural Equation Models with Latent Variables (SEM-LV) are commonly used in frameworks, e.g. Cust...
In this study we illustrate a Maximum Entropy (ME) methodology for modeling incomplete information a...
TEZ8812Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2012.Kaynakça (s. 56-61) var.xi, 62 s. :...
AbstractAsymptotic expansions are made for the distributions of the Maximum Empirical Likelihood (ME...
The aim of this paper is to study the effect of management factors on enterprise performance, consid...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfall...
We develope a multigroup structural equation model (SEM) based on the generalized maximum entropy (G...
A generalized maximum entropy estimator is developed for the linear simultaneous equations systems m...
The generalized maximum entropy (GME) estimator was introduced by Golan et al. as a way to overcome ...
This paper introduces the general multilevel models and discusses the generalized maximum entropy (G...
The origin of entropy dates back to 19th century. In 1948, the entropy concept as a measure of uncer...
EnThe aim of this work is to show an integrated approach for using the Structural Equation Model (SE...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls...
We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (...
Structural Equation Models with Latent Variables (SEM-LV) are commonly used in frameworks, e.g. Cust...
In this study we illustrate a Maximum Entropy (ME) methodology for modeling incomplete information a...
TEZ8812Tez (Yüksek Lisans) -- Çukurova Üniversitesi, Adana, 2012.Kaynakça (s. 56-61) var.xi, 62 s. :...
AbstractAsymptotic expansions are made for the distributions of the Maximum Empirical Likelihood (ME...
The aim of this paper is to study the effect of management factors on enterprise performance, consid...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls...
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfall...
We develope a multigroup structural equation model (SEM) based on the generalized maximum entropy (G...
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