Although fake online customer reviews have become prevalent on platforms such as Amazon, Google, and Facebook, little is known about how these reviews influence consumer behavior. This paper provides the first experimental estimates of the effects of fake reviews on individual demand and...

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...

The financial motivation to earn advertising revenue by spreading misinformation has been widely conjectured to be among the main reasons misinformation continues to be prevalent online. Research aimed at reducing the spread of misinformation has so far focused on user-level interventions with...

How does lie detection constrain the potential for one person to persuade another to change her action? We consider a model of Bayesian persuasion in which the Receiver can detect lies with positive probability. We show that the Sender lies more when the lie detection probability increases. As...

This paper estimates consumer demand for firearms with the aim of predicting the likely impacts of firearm regulations on the number and types of guns in circulation. We first conduct a stated-choice-based conjoint analysis and estimate an individual-level demand model for firearms. We validate...

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...

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...

This paper proposes a new approach to the "factor zoo" conundrum. Instead of applying dimension-reduction methods to a large set of portfolios obtained from sorts on characteristics, I construct factors that summarize the information in characteristics across assets and then sort assets into...

This paper introduces a simple and tractable sieve estimation of semiparametric conditional factor models with latent factors. We establish large-N-asymptotic properties of the estimators without requiring large T. We also develop a simple bootstrap procedure for conducting inference about the...

This paper proposes latent factor models for multidimensional panels called 3D-PCA. Factor weights are constructed from a small set of dimension-specific building blocks, which give rise to proportionality restrictions of factor weights. While the set of feasible factors is restricted, factors...