How does a firm's market power in existing products affect its incentives to innovate? We explore this fundamental question using granular project-level and firm-level data from the pharmaceutical industry, focusing on a particular mechanism through which incumbent firms maintain their market...

We construct measures of industry performance and welfare in the U.S. car and light truck market from 1980-2018. We estimate a differentiated products demand model for this market using product level data on market shares, prices, and product characteristics, and consumer level data on...

We study how inertia interacts with market power and adverse selection in managed competition health insurance markets. We use consumer-level data to estimate a model of the California ACA exchange, in which four firms dominate the market and risk adjustment is in place to manage selection. We...

Might firms' use of data create market power? To explore this hypothesis, we craft a model in which economies of scale in data induce a data-rich firm to invest in producing at a lower marginal cost and larger scale. However, the model uncovers much richer interactions between data, welfare and...

To answer the question whether managers are paid for market power, we propose a theory of executive compensation in an economy where firms have market power, and the market for man- agers is competitive. We identify two distinct channels that contribute to manager pay in the model: market power...

Intro -- Contents -- Acknowledgments -- Introduction / Ajay Agrawal, Joshua Gans, and Avi Goldfarb -- I. AI as a GPT -- 1. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics / Erik Brynjolfsson, Daniel Rock, and Chad Syverson, Comment: Rebecca...

This paper compares alternative liability rules for allocating losses from defective products when consumers under- estimate these losses and producers may have some market power. If producers do not have any market power, the rule of strict liability .leads to both the first-best accident...