Explaining Price Dispersion and Dynamics in Laboratory Bertrand Markets
Ralph-C Bayer (),
Hang Wu and
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Mickey Chan: School of Economics, University of Adelaide
No 2013-16, School of Economics Working Papers from University of Adelaide, School of Economics
This paper develops a quantal-response adaptive learning model which combines sellers' bounded rationality with adaptive belief learning in order to explain price dispersion and dynamics in laboratory Bertrand markets with perfect information. In the model, sellers hold beliefs about their opponentsÃ¢Â€Â™ strategies and play quantal best responses to these beliefs. After each period, sellers update their beliefs based on the information learned from previous play. Maximum likelihood estimation suggests that when sellers have full past price information, the learning model explains price dispersion within periods and the dynamics across periods. The fit is particularly good if one allows for sellers being risk averse. In contrast, Quantal Response Equilibrium does not organize the data well.
Keywords: Price dispersion; Adaptive Learning; Bounded rationality; Quantal Response Equilibrium. (search for similar items in EconPapers)
JEL-codes: C73 C91 D83 L13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-com, nep-cta, nep-gth and nep-ind
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Persistent link: https://EconPapers.repec.org/RePEc:adl:wpaper:2013-16
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