Calculating the damage of a cartel subject to transition periods: The international uranium cartel in the 1970s
The theory about cartel pricing and descriptive price statistics suggests that the price path over a cartel life cycle can be subject to gradual, non-linear transitions where the price path moves from (to) the non-collusive to (from) the maximum collusive equilibrium. Ignoring such transitions can l...
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Published in | Energy Economics Vol. 84; p. 104487 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier B.V
01.10.2019
Elsevier BV Elsevier Science Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | The theory about cartel pricing and descriptive price statistics suggests that the price path over a cartel life cycle can be subject to gradual, non-linear transitions where the price path moves from (to) the non-collusive to (from) the maximum collusive equilibrium. Ignoring such transitions can lead to biased estimates of the cartel and damage effects. Smooth transition regression (STR) models are a class of models well suited to capture such transitions, also under realistic conditions when the transition start and end dates are uncertain, and when the two transitions are asymmetric. We evaluate the international uranium cartel during the 1970s, using both the mainstream approach based on a linear specification with a dummy variable to capture the cartel, and an STR model. We are the first to use STR models in the evaluation of a cartel/damage effect. Using the STR model, we find that the damage effect is about 18 times higher as compared to the mainstream model.
•Price path over a cartel life cycle can start and end with smooth transitions.•Ignoring transitions can lead to biased estimates.•We evaluate the international uranium cartel during the 1970s.•Using a smooth transition model, damage effect increases by a factor 18. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 0140-9883 1873-6181 |
DOI: | 10.1016/j.eneco.2019.104487 |