Destructive Creation

"Destructive Creation" is the deliberate introduction of new, perhaps improved generations of durable goods that destroy, directly or indirectly, the usage value of units previously sold inducing consumers to repeat their purchase. This paper discusses this practice by a single seller in an infinite-horizon, discrete time model with heterogeneous consumers. Despite the lack of commitment power over future prices and introduction policies, this practice restores partially or totally market power even though consumers anticipate opportunistic behavior. However, the monopoly resorts "too much" to this mechanism from an ex-ante, profit maximizing perspective. High prices in earlier periods allow the seller to commit to defer innovation and therefore to maintain buyers' confidence over "durability". The paper characterizes the equilibrium properties of the resulting innovation cycles such as existence, uniqueness and asymptotic stability and discusses potential regulatory remedies in those instances where destructive creation generates economic inefficiencies. This theory applies, among others, to markets characterized by network externalities, compatibility issues, standard setting, social consumption and signal provision and may help explain many restrictive aftermarket practices as well as excessive add-on pricing without relying on any leverage hypothesis.durable goods; aftermarkets; planned obsolescence;

Pricing payment cards

In a payment card association such as Visa, each time a consumer pays by card, the bank of the merchant (acquirer) pays an interchange fee (IF) to the bank of the cardholder (issuer) to carry out the transaction. This paper studies the determinants of socially and privately optimal IFs in a card scheme where services are provided by a monopoly issuer and perfectly competitive acquirers to heterogeneous consumers and merchants. Different from the literature, we distinguish card membership from card usage decisions (and fees). In doing so, we reveal the implications of an asymmetry between consumers and merchants: the card usage decision at a point of sale is delegated to cardholders since merchants are not allowed to turn down cards once they are affiliated with a card network. We show that this asymmetry is sufficient to induce the card association to set a higher IF than the socially optimal IF, and thus to distort the structure of user fees by leading to too low card usage fees at the expense of too high merchant fees. Hence, cap regulations on IFs can improve the welfare. These qualitative results are robust to imperfect issuer competition, imperfect acquirer competition, and to other factors affecting final demands, such as elastic consumer participation or strategic card acceptance to attract consumers. JEL Classification: G21, L11, L42, L31, L51, K21interchange fees, Merchant fees, Payment card associations

Issues in online advertising and competition policy: A two-sided market perspective

The advertising markets raise several issues for the conduct of competition policy that are related to the unconventional nature of the market and its functioning. In this paper we take a first pass at these

Algorithmic collusion, genuine and spurious

We clarify the difference between the asynchronous pricing algorithms analyzed by Asker, Fershtman and Pakes (2021) and those considered in the previous literature. The difference lies in the way the algorithms explore: randomly or mechanically. We reaffirm that with random exploration, asynchronous pricing algorithms learn genuinely collusive strategies

Algorithmic collusion with imperfect monitoring

Published online: 14 February 2021We show that if they are allowed enough time to complete the learning, Q-learning algorithms can learn to collude in an environment with imperfect monitoring adapted from Green and Porter (1984), without having been instructed to do so, and without communicating with one another. Collusion is sustained by punishments that take the form of “price wars” triggered by the observation of low prices. The punishments have a finite duration, being harsher initially and then gradually fading away. Such punishments are triggered both by deviations and by adverse demand shocks

Autonomous algorithmic collusion: economic research and policy implications

Markets are being populated with new generations of pricing algorithms, powered with Artificial Intelligence, that hve the ability to autonomously learn to operate. This ability can be both a source of efficiency and cause of concern for the risk that algorithms autonomously and tacitly learn to collude. In this paper we explore recent developments in the economic literature and discuss implications for policy