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Analyzing firm behavior in restructured electricity markets: Empirical challenges with a residual demand analysis
Affiliation:1. Bucknell University, United States;2. Texas Tech University, United States;1. Economix, UPL, University Paris Nanterre, CNRS, University Paris Nanterre and EconomiX-CNRS, Nanterre F92000, France;2. Department of Economics, University of Bergen, Bergen, Norway;3. Department of Economics, Norwegian School of Economics, Bergen, Norway;1. Department of Business Administration, University of Zurich, Plattenstrasse 14, 8032 Zurich, Switzerland;2. School of Business, Lucerne University of Applied Sciences and Arts, Zentralstrasse 9, 6002 Lucerne, Switzerland;1. Smith School of Business of Queen''s University;2. Economics Department at the University of Oklahoma;1. Toulouse School of Economics, Esplanade de l’Université 1, Toulouse 31080, France;3. Department of Economics and Business, University of Catania, C.so Italia 55, Catania 95129, Italy;4. Department of Economics and Related Studies, University of York, Heslington, York YO10 5DD, UK;5. Department of Economics/NIPE, University of Minho, Campus de Gualtar, Braga 4710-057, Portugal;6. Department of Economics, University of Bergen, Norway
Abstract:Using data from Alberta’s wholesale electricity market, we demonstrate the challenges that can arise when characterizing a firm’s unilateral expected profit-maximizing offer curve. We illustrate that the residual demand curves faced by firms can be highly non-linear, resulting in non-monotonic, downward sloping, optimal best-response offer curves violating common restrictions imposed on bidding behavior. This can have important implications on the conclusions drawn from such empirical analyses. We identify features of residual demand curves that can lead to these problems, providing guidance to researchers utilizing these methods. We find that a simplified monotonic smoothing of the unconstrained ex-post optimal offer curve can achieve the majority of the expected profits, offering an alternative to calculating the ex-ante expected profit-maximizing offer curve that can be computationally burdensome.
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