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W hereas theoretical studies on dynamic pricing typically assume that consumers are either fully strategic or fully myopic, systematic empirical investigations into how consumers behave under dynamic pricing contexts are relatively rare. Focusing on scarce products, we constructed and experimentally tested a two-stage model in which a firm sells a seasonal good under exogenous inventory constraints to a market of strategic buyers. In our experiment, subjects assigned the role of buyers made purchase decisions in response to prices set by an automated seller. We find that equilibrium predictions assuming fully strategic buyers largely accounted for aggregate behavior in the experiment, and the ex post optimal decisions for subjects were overwhelmingly consistent with equilibrium prescriptions. Moreover, subjects tended to become individually more strategic as the session progressed. However, there were also nuanced systematic patterns of deviations from equilibrium that had profit and pricing implications for the seller. First, a nonnegligible minority of subjects exhibited completely myopic buying behavior even with practice. Second, when the product was relatively more scarce, myopic buying had a stronger impact on demand at higher prices; the upshot is that the seller's season-profit-maximizing price could be considerably higher than what would be optimal with fully strategic buyers.

The Braess Paradox (BP) is a counterintuitive finding that degrading a network that is susceptible to congestion may decrease the equilibrium travel cost for each of its users. We illustrate this paradox with two networks: a basic network with four alternative routes from a single origin to a single destination, and an augmented network with six alternative routes. We construct the equilibrium solutions to these two networks, which jointly give rise to the paradox, and subject them to experimental testing. Our purpose is to test the generality of the BP when the network is enriched as well as the effects of the information provided to the network users when they conclude their travel. To this end, we compare experimentally two information conditions when each of the two networks is iterated in time. Under public monitoring each user is accurately informed of the route choices and payoffs of all the users, whereas under private monitoring she is only informed of her own payoff. Under both information conditions, over iterations of the basic and augmented games, aggregate route choices converge to equilibrium. Keywords Braess Paradox · Congested traffic networks · Route choice · ExperimentElectronic supplementary material The online version of this article

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