We present several empirical facts about trends in marketing investment in the US. We also present estimates of the private value of brands to firms and aggregate intangible brand capital stocks created by these investments. These investments include the creation and maintenance of a brand name...

With the rise of social media and streaming platforms, firms and brand-owners increasingly depend on influencers to attract consumers, who care about both common product quality and consumer-influencer interaction. Sellers thus compete in both influencer and product markets. As outreach and...

Third-party cookies and related 'offsite' tracking technologies are frequently used to share user data across applications in support of ad delivery. These data are viewed as highly valuable for online advertisers, but their usage faces increasing headwinds. In this paper, we quantify the...

For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with AI-driven tools already in use...

We study the characteristics and behavior of small campaign donors and compare them to large donors by building a dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and 2020. Thanks to the reporting requirements of online...

We study the effect of price caps on the provision of costly effort by pharmaceutical firms using variation in drug discounts generated by a price regulation program that allows eligible hospitals to purchase outpatient drugs at steep discounts. These discounts directly affect drug...

This paper studies the implications of attempts at "ethnic-affinity" profiling on Facebook that reflects users' engagement with content on Facebook. Profiling by ethnic-affinity is highly correlated with Census estimates of population race by geography. However, more users were profiled as...

This paper studies how market competition influences the algorithmic design choices of firms in the context of targeting. Firms face the general trade-off between bias and variance when choosing the design of a supervised learning algorithm in terms of model complexity or the number of...

Why do establishments exhibit wide variation in their productivity and profitability? Can variation in returns to advertising help answer this question? We present results from a large field experiment on Facebook and Instagram that documents variance in advertisers' ability to generate returns...

Existing theories of media competition imply that advertisers will pay a lower price in equilibrium to reach consumers who multi-home across competing outlets. We generalize and extend this theoretical result and test it using data from television and social media advertising. We find that...