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Causality and interdependence in econometric analysis and in economic theory

机译:计量经济学分析和经济学理论中的因果关系和相互依存关系

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This is the Inaugural Address for the first established Chair of Econometrics in Italy at the University Cattolica del Sacro Cuore of Milan (A.A. 1964-65). The author first focuses his attention on the contraposition between causal (recursive) and interdependent models in econometrics. The tools adopted to analyse the former category of models are much simpler than those necessary for the latter category, while the bulk of current econometric analysis is carried out by means of fully interdependent models. The author claims that this preference has its roots at a more fundamental level: the Neoclassical theoretical framework, which has been the dominant approach in economics. Its logic is best represented by the Walrasian general equilibrium model. As is well known, this model is explicitly characterized by the full interdependence of all the economic variables of the system, Yet, there are other approaches, like the Classical and the Keynesian ones, where some important relations are best represented by means of causal, rather than interdependent, relations. As an example, the author recalls the Ricardian theory of income distribution, where its recursive structure is crucial in showing the essential determinants of the distributive variables and, in particular, the residual nature of profits with respect to wages; or the Sraffa price system, where the rate of profit is determined before any other unknown and - as in Ricardo - independently of rents. The author concludes by outlining a distinction between two sets of economic relations: a first group of relations called "natural", that are independent of the institutional setting of the economic system and are thus common to all production systems; and another group of relations, specific to the institutional context, which can differ from system to system, and can sometimes be fruitfully studied with the help other social sciences. (C) 2018 Published by Elsevier B.V.
机译:这是在米兰的Cattolica del Sacro Cuore大学成立的第一个意大利计量经济学主席的就职演说(A.A. 1964-65)。作者首先将注意力集中在计量经济学中因果(递归)模型和相互依赖模型之间的对立。用于分析前一类模型的工具要比用于后一类模型的工具简单得多,而当前的计量经济学分析大部分是通过完全相互依赖的模型进行的。作者声称,这种偏好的根源在一个更基本的层面:新古典理论框架是经济学的主流方法。瓦尔拉斯一般均衡模型最能代表其逻辑。众所周知,该模型的显着特征是系统所有经济变量之间的相互依存关系。然而,还有其他方法,例如古典方法和凯恩斯方法,其中一些重要的关系最好用因果关系来表示,而不是相互依存的关系。例如,作者回顾了里卡德的收入分配理论,该理论的递归结构对于显示分配变量的基本决定因素,尤其是利润相对于工资的剩余性质至关重要。或Sraffa价格系统,其中利润率是在任何其他未知数之前确定的,并且-与里卡多一样-与租金无关。作者的结论是概述了两组经济关系之间的区别:第一类关系称为“自然”,独立于经济系统的制度设置,因此对所有生产系统都是相同的;以及另一组特定于制度背景的关系,这种关系可能因系统而异,有时可以在其他社会科学的帮助下进行富有成效的研究。 (C)2018由Elsevier B.V.发布

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