Azova, Arina and Lukyanov, Georgy
ORCID: https://orcid.org/0009-0005-1672-610X
(2025)
Herding Prices: Social Learning and Dynamic Competition in Duopoly.
TSE Working Paper, n. 25-1685, Toulouse
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Abstract
We embed observational learning (BHW) in a symmetric duopoly with random arrivals and search frictions. With fixed posted prices, a mixed-strategy pricing equilibrium exists and yields price dispersion even with ex-ante identical firms. We provide closed-form cascade bands and show wrong cascades occur with positive probability for interior parameters, vanishing as signals become precise or search costs fall; absorption probabilities are invariant to the arrival rate. In equilibrium, the support of mixed prices is connected and overlapping; its width shrinks with signal precision and expands with search costs, and mean prices comove accordingly. Under Calvo price resets (Poisson opportunities), stationary dispersion and mean prices fall; when signals are sufficiently informative, wrong-cascade risk also declines. On welfare, a state-contingent Pigouvian search subsidy implements the planner’s cutoff. Prominence (biased first visits) softens competition and depresses welfare; neutral prominence is ex-ante optimal.
| Item Type: | Monograph (Working Paper) |
|---|---|
| Language: | English |
| Date: | October 2025 |
| Place of Publication: | Toulouse |
| Uncontrolled Keywords: | social learning, informational cascades, price dispersion, search, vertical differentiation. |
| JEL Classification: | C73 - Stochastic and Dynamic Games; Evolutionary Games; Repeated Games D43 - Oligopoly and Other Forms of Market Imperfection D83 - Search; Learning; Information and Knowledge; Communication; Belief L13 - Oligopoly and Other Imperfect Markets |
| Subjects: | B- ECONOMIE ET FINANCE |
| Divisions: | TSE-R (Toulouse) |
| Institution: | Université Toulouse Capitole |
| Site: | UT1 |
| Date Deposited: | 30 Oct 2025 09:02 |
| Last Modified: | 30 Oct 2025 09:03 |
| OAI Identifier: | oai:tse-fr.eu:131066 |
| URI: | https://publications.ut-capitole.fr/id/eprint/51596 |

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