We model platform competition with network effects, infrastructure investment, and data collection and sharing, thereby providing a unifying framework to evaluate data-related regulation and antitrust policies. Data feedback improves service quality but may concentrate market power. Dispersed...

We model the competition between digital forms of fiat money and private digital money (PDM). Countries strategically digitize their fiat money -- upgrading existing or launching new payment systems (including CBDCs) -- to enhance adoption and counter PDM competition. A pecking order emerges:...

We model platform competition with endogenous data generation, collection, and sharing, thereby providing a unifying framework to evaluate data-related regulation and antitrust policies. Data are jointly produced from users' economic activities and platforms' investments in data infrastructure....

The rise of centralized mining pools for risk sharing does not necessarily undermine the decentralization required for permissionless blockchains: Each individual miner's cross-pool diversification and endogenous fees charged by pools generally sustain decentralization, because larger pools...

While the advent of cryptocurrencies and digital assets holds promise for improving and disrupting financial systems by offering cheap, quick, and secure transfer of value, it also opens up new payment channels for cybercrimes. A prerequisite to solving a problem is understanding the nature of...

We introduce a general framework for analyzing large-scale text-based data, combining the strengths of neural-network language processing and generative statistical modeling. Our methodology generates textual factors by (i) representing texts using vector word embedding, (ii) clustering words...