Price Transparency, Search, and Collusion in Markets

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Online search platforms and 'open data' policies are emerging to empower consumers with price information for decision-making in markets, yet also can enable collusive pricing. This project aims to study the competitive impact of search platforms by combining large, real-time datasets on firm pricing and consumer search with natural and field experiments. The project expects to facilitate the development of new models of collusion, consumer search, and platform adoption. This should yield substantial benefit by modernizing competition policy for the digital age through novel data-driven screens for collusion, and policies to encourage platform adoption and enable consumers’ use of data in decision-making to increase competition in markets.