电力市场的传染:存在吗?

C. Bollino, Paolo Polinori
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引用次数: 10

摘要

本文研究了电力市场传染效应的存在性。传染的概念已经发展为高频金融市场,见世界银行的定义(世界银行,2000年)。继Pick(2005)和Pesaran - Pick(2007)之后,本文提出了一个典型的传染计量经济学模型,并研究了传染可以与单纯相互依赖区分开来的条件。传染和相互依赖之间的理论和经验区别是基于精确的识别条件,在本文中讨论。实证分析基于意大利电力交易所(IPX)的不同区域市场,我们只关注意大利地区层面IPX的纯传染关系。这是经济学文献中一个新颖的结果。传染的分析和识别需要每个单独的市场方程包含市场特定的回归量,因此我们必须在结构方程中涉及市场特定的变量,以便正确指定模型。Pesaran - Pick (2007, p. 1266)表明,忽略内生性和相互依赖性会在估计传染系数时引入实质性的向上偏差。一般来说,内生性问题需要使用工具变量(IV)估计,并且与Pick(2005)一致,我们通过包括区域市场特定基本面来获得一致性。本文最重要的结论是,传染可以从相互依赖中分离出来,而且影响是不对称的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contagion in Electricity Markets: Does it Exist?
This paper investigates the existence of contagion effects in electricity markets. The concept of contagion has been developed for high frequency financial markets, see the World Bank definition(Word Bank, 2000). Following Pick (2005) and Pesaran - Pick (2007) the paper presents a canonical, econometric model of contagion and investigates the conditions under which contagion can be distinguished from mere interdependence. The theoretical and empirical distinction between contagion and interdependence is based upon precise identification conditions, discussed in the paper. The empirical analysis is based on different regional markets in the Italian Power Exchange (IPX) and we focus only on pure contagion relationship in the IPX at the Italian regional level. This is a novel result in economic literature. The analysis and identification of contagion requires that each individual market equations contains market specific regressors, consequently we have to involve market specific variables in structural equations in order to correctly specify the model. Pesaran - Pick (2007, p. 1266) show that ignoring endogeneity and interdependence can introduce a substantial upward bias in estimation of contagion coefficient. In general, problems of endogeneity requires usage of instrumental variables (IV)estimation and, in agreement with Pick (2005), we obtain consistency by including regional market specific fundamentals. The most important conclusions of this paper are that contagion can be identified separately from interdependence and that effects are asymmetric.
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