计量经济学方法论的课程:正确规格的公理

A. Zaman
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引用次数: 1

摘要

Leamer首先指出,只有当构建回归模型的所有假设都有效时,回归模型才是有效的。特别是,这意味着所有作为决定因素的相关回归量必须包括在内。在实践中,应用计量经济学家假设他们提出的任何模型都是有效的,而实际上只有一个有效的模型。如果省略任何相关的回归因子,则方程是错误的,并且从回归中得出的结论可能会严重误导。尽管这种错误规范分析包含在教科书中,但在应用中通常被忽略,研究人员在解释他们的方程时,好像他们已经正确指定了所有回归量,而没有进行测试,看看是否可能是这种情况。Hendry的包罗万象的方法为这个问题提供了一种补救方法,但似乎对许多人来说并不熟悉。这篇教学笔记的目的是介绍这种方法的一个基本但重要的方面
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lessons in Econometric Methodology: The Axiom of Correct Specification
Leamer first pointed out that a regression model is valid only if all of the assumptions under which it is constructed are valid. In particular, this means that all of relevant regressors which are determinants must be included. In practice, applied econometricians assume that whatever model they put is valid, when there can only be one valid model. If any relevant regressor is omitted, then the equation is mis-specified and conclusions drawn from the regression can be seriously misleading. Even though this mis-specification analysis is included in textbooks, it is routinely ignored in applications, where researcher interpret their equations as if they have correctly specified all regressors, without testing to see if this may be the cases. Hendry’s encompassing methodology provides a remedy for this problem, but seems to be unfamiliar to many. The purpose of this pedagogical note is to provide an introduction to an elementary but important aspect of this methodology
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