Competition in service markets with unit demand, such as secured lending and car insurance, is significantly influenced by firms’ ability to learn about their customers. Incumbent firms develop knowledge of customer types over time, enabling them to implement price discrimination strategies. This learning process leads to a unique set of mixed strategy equilibria where firms randomize prices across a bounded continuous support, according to new economic research. Incumbents consistently earn positive rents in these markets.
The study highlights that increased competition, specifically through the entry of new firms, does not necessarily benefit customers if existing firms are aware of their competitors’ portfolio compositions. This finding carries important implications for competition policy, particularly in industries heavily reliant on information. Conversely, if firms only possess information regarding the aggregate industry client composition, horizontal mergers may lead to a reduction in overall industry rents.
Adverse selection is a key characteristic of these service markets. This occurs when one party in a transaction has more or better information than the other, leading to market inefficiencies. In the context of secured lending and car insurance, firms initially lack complete information about the risk profiles or reliability of new customers. Over time, through observed behavior and claims history, firms gain insights into individual customer types.
The ability of incumbent firms to price discriminate is a direct consequence of this accumulated customer learning. By understanding different customer segments, firms can tailor pricing to reflect perceived risk or value. This allows them to retain more profitable customers while potentially charging higher prices to those deemed riskier, contributing to their positive rents.
The research identifies a unique set of mixed strategy equilibria. This means that firms do not set a single, fixed price but instead randomize their pricing decisions within a specific range. This strategic randomization is a response to the uncertainty inherent in customer types and the competitive actions of other firms, preventing any single firm from consistently undercutting competitors or being consistently undercut.
The impact of new firm entry on customer welfare depends critically on the information available to firms. If firms have detailed knowledge of competitors’ customer portfolios, new entrants may not drive down prices for consumers. This suggests that transparency or information sharing among competitors can mitigate the pro-competitive effects typically associated with increased market participation.
Conversely, the study suggests that horizontal mergers could reduce industry rents if firms only have access to aggregate industry client composition data. This scenario implies that when information about individual competitor portfolios is limited, combining firms might lead to less aggressive pricing strategies or reduced overall profitability for the merged entity and the industry as a whole, rather than increased market power.
The precise conditions under which horizontal mergers might reduce industry rents warrant further investigation. The interplay between information asymmetry, firm learning, and market structure remains a complex area. Future research could explore how different regulatory approaches to information sharing or data privacy might alter these competitive dynamics and ultimately affect consumer outcomes in information-intensive service markets.