This paper examines how a firm can strategically choose its capacity to manipulate consumer beliefs about aggregate demand. It looks at a market with social effects where consumers want to do what is popular, to buy what they believe others want to buy. By imposing a capacity constraint and...

First, we analyze how regular days off from competition and a time-dependent price pattern affect firm performance. Second, we examine the effects on firms' profitability from consumers' changing search- and timing behavior. We use microdata from gasoline retailing in Norway. Since 2004, firms...

We test an information theory of prosocial behavior whereby ego utility and self-signaling crowd out the effect of consumption utility on choice. The data come from two field experiments involving purchases of a consumer good bundled with a charitable donation. Across experimental cells, we...

We test a self-signaling theory using two large-scale, randomized controlled field experiments. Smartphone users are randomly sampled to receive promotional offers for movie tickets via SMS technology. Subjects are exposed to different pre-determined levels of price discounts and charitable...

The widely-used estimator of Berry, Levinsohn and Pakes (1995) produces estimates of consumer preferences from a discrete-choice demand model with random coefficients, market-level demand shocks and endogenous prices. We derive numerical theory results characterizing the properties of the nested...

We estimate the distribution of television advertising elasticities and the distribution of the advertising return on investment (ROI) for a large number of products in many categories. Our results reveal substantially smaller advertising elasticities compared to the results documented in the...

We study the interaction of search and application approval in credit markets. We combine a unique dataset, which details search behavior for a large sample of mortgage borrowers, with loan application and rejection decisions. Our data reveal substantial dispersion in mortgage rates and search...

The diversion ratio is a key input to indicators of merger harm like upward pricing pressure. Measuring the diversion ratio, however, is challenging in the presence of consumer switching costs. We propose an identification strategy for diversion that relies on win/loss data from the two merging...

Advances in data collection and algorithms help advertisers to better target individual consumers by predicting each consumer's preferences. We first show that when consumers have uncertainties about their preferences, an ad targeted to a consumer carries an implicit message: the algorithm...