English, Article, Journal or magazine article edition: Price Wars and Collusion in the Spanish Electricity Market Natalia Fabra; Juan Toro

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Physical Description
  • preprint
Language
  • English

Edition details

Title
  • Price Wars and Collusion in the Spanish Electricity Market
Author
  • Natalia Fabra
  • Juan Toro
Physical Description
  • preprint
Notes
  • \We analyze the time-series of prices in the Spanish electricity market by means of a time varying-transition-probability Markov switching model. Accounting for changes in demand and cost conditions (which reflect changes in input costs, capacity availability and hydro power), we show that the time-series of prices is characterized by two significantly different price levels. Based on a Green and Porter (1984)'s type of model that introduces several institutional details, we construct trigger variables that affect the likelihood of starting a price war. By interpreting the signs of the triggers, we are able to infer some of the properties of the collusive strategy that firms might have followed. We obtain more empirical support to Green and Porter's model than previous studies. REVISED: January 2004
  • RePEc:wpa:wuwpio:0212001
  • We analyze the time-series of prices in the Spanish electricity market by means of a time varying-transition-probabilities Markov Switching model. Accounting for demand and supply conditions, we show that the time-series of prices is characterized by two significantly different price levels. Based on a Green and Porter type of model that specifically introduces the rules of the bidding process, we construct several triggers for price wars. The triggers considered are statistically significant and report the predicted signs. In particular, price wars are triggered by unexpected changes in the major generators` market shares and revenues. We obtain more empirical support to Green and Porter`s model than previous studies.
  • RePEc:oxf:wpaper:136
  • We analyze the pattern of pool prices in the Spanish electricity market during 1998 by means of a Time Varying Transition Probabilities Markov switching model. Our purpose is two­fold: firstly, to identify and date the drops in prices that cannot be accounted for by supply nor demand conditions; and secondly, under the assumption that these correspond with reversions to non­cooperative behaviour, to identify the trigger variables upon which a collusive equilibrium could be based upon. Our results confirm the hypothesis that two distinct price levels characterize the time series of pool prices, and point to the conclusion that price wars are induced by changes in the major generators' market shares. In turn, this shows that firms' pricing behaviour is highly influenced by the way in which the so­called Competition Transition Charges (CTCs) are computed.
  • Electricity Markets, Tacit Collusion, Markov Switching
  • RePEc:cea:doctra:e2001_05
Language
  • English
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