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LEAST ORTI IOGONAL DISTANCE ESTIMATOR OF STRUCTURAL PARAMETERS IN SIMULTANEOUS EQUATION MODELS

机译:方程组模型中结构参数的最小卵圆角距离估计

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The aim of this paper is to present a consistent estimator of parameters in simultane-ous equation model, based on characteristic roots and vectors of a matnx. derived from the so called over-identifying restrictions. The Least Orthogonal Distance Estimator pre-sented here is a more recent development of its original limited information version. The occasion, for reviewing it, has been given by its extension to a full information context which is here completely formalized and by the very encouraging results of recent simula-tion experiments.
机译:本文的目的是在基于Matnx的特征根和向量的情况下,提供一个同时方程模型中参数的一致估计。源自所谓的过度识别限制。这里预先提出的最小正交距离估计器是其原始有限信息版本的更新版本。通过将其扩展到此处已完全形式化的完整信息上下文以及最近的模拟实验非常令人鼓舞的结果,来进行对此进行回顾。

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