Analyzing Firm Behaviour in Restructured Electricity Markets: Empirical Challenges with a Residual Demand Analysis

David P. Brown, Andrew Eckert
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Abstract

Using data from Alberta's wholesale electricity market, we demonstrate the empirical challenges that can arise when employing empirical methodologies to characterize a firms unilateral profit-maximizing offer curve. We illustrate that such residual demand analyses can result in non-monotonic, downward sloping, optimal best-response offer curves violating restrictions imposed on bidding behaviour. We show that this arises because of the highly non-linear nature of residual demand functions firms can face in practice. We find that forms could have achieved the vast majority of expected profits by employing an offer curve that represents a monotonically smoothed version of the often non-monotonic optimal offer curves. Our findings shine light onto empirical challenges associated with commonly employed equilibrium models to analyze firm behaviour in restructured electricity markets. Further, our analysis illustrates that the failure to account for these empirical challenges may lead researchers to incorrect conclusions regarding observed firm behaviour. These findings stress the importance of accounting for regulatory and practical constraints firms face when modeling bidding behaviour in these multi-unit, uniform-priced, procurement auctions.
重组电力市场中的企业行为分析:基于剩余需求分析的实证挑战
利用艾伯塔省批发电力市场的数据,我们展示了在采用经验方法表征企业单边利润最大化报价曲线时可能出现的经验挑战。我们说明了这样的剩余需求分析可以导致非单调的,向下倾斜的,最优的最佳响应提供曲线违反对投标行为施加的限制。我们表明,这是因为企业在实践中可能面临的剩余需求函数的高度非线性性质。我们发现,通过采用代表非单调最优报价曲线的单调平滑版本的报价曲线,形式可以获得绝大多数预期利润。我们的研究结果揭示了与常用均衡模型相关的经验挑战,这些模型用于分析重组电力市场中的企业行为。此外,我们的分析表明,未能考虑到这些经验挑战可能导致研究人员对观察到的企业行为得出不正确的结论。这些发现强调了企业在这些多单位、统一定价的采购拍卖中建模投标行为时所面临的监管和实际约束的重要性。
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