This paper provides a new explanation for tying that is not based on any of the standard explanations -- efficiency, price discrimination, and exclusion. Our analysis shows how a monopolist sometimes has an incentive to tie a complementary good to its monopolized good in order to transfer...

This paper extends the blockchain sustainability framework of Budish (2018) to consider proof of stake (in addition to proof of work) consensus mechanisms and permissioned (where the number of nodes are fixed) networks. It is demonstrated that an economically sustainable network will involve the...

A model is provided whereby a monopolist firm chooses to price its product at zero. This outcome is shown to be driven by the assumption of ‘free disposal' alongside selection markets (where prices impact on a firm's costs). Free disposal creates a mass point of consumers whose utility from...

This paper considers the role of Rosenbergian uncertainty (i.e., economic uncertainties that arise after successful invention) in shaping appropriability for start-up innovators. Rather than assuming that the appropriability regime surrounding an innovation is exogenous, we focus on the...

This paper explores how entrepreneurs can use initial coin offerings — whereby they issue crypto tokens and commit to only accept those tokens as payment for their products — to fund venture start-up costs. We show that the ICO mechanism allows entrepreneurs to generate buyer competition for...

This paper examines the paperclip apocalypse concern for artificial general intelligence. This arises when a superintelligent AI with a simple goal (ie., producing paperclips) accumulates power so that all resources are devoted towards that goal and are unavailable for any other use. Conditions...

Recent artificial intelligence advances can be seen as improvements in prediction. We examine how such predictions should be priced. We model two inputs into decisions: a prediction of the state and the payoff or utility from different actions in that state. The payoff is unknown, and can only...

We interpret recent developments in the field of artificial intelligence (AI) as improvements in prediction technology. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models of decision-making under uncertainty to account for the...

We analyze the Bitcoin protocol for electronic peer-to-peer payments and the operations that support the “blockchain” that underpins it. It is shown that that protocol maps formally into a dynamic game that is an extension of standard models of R&D racing. The model provides a technical...

The most commonly used test for the presence of SARS-CoV-2 is a PCR test that is able to detect very low viral loads and inform on treatment decisions. Medical research has confirmed that many individuals might be infected with SARS-CoV-2 but not infectious. Knowing whether an individual is...