We study the estimation of preference heterogeneity in markets where consumers engage in costly search to learn product characteristics. Costly search amplifies the way consumer preferences translate into purchase probabilities, generating a seemingly large degree of preference heterogeneity. We...

Traditional methods for estimating demand are not always well-suited to online markets, where individual products are sold infrequently, unobserved factors such as webpage layout drive substitution, and often only a limited set of product characteristics is observed. We propose a demand model...

We measure consumers' readiness to face emergency expenses. Based on data from a representative survey of US consumers, we find that financial readiness varies widely across consumers, with lowest-income, least-educated, unemployed, and black consumers most likely to have $0 saved for emergency...

Buying a house changes a household's balance sheet by simultaneously reducing liquidity and introducing mortgage payments, which may leave the household more exposed to other shocks. We find that this change affects credit card use in two ways: A debt effect increases credit card spending, while...

We leverage a temporary block of the Chinese microblogging platform Sina Weibo due to political events, to estimate the causal effect of online word-of-mouth content on product demand in the context of TV show viewership. Based on this source of exogenous variation, we estimate an elasticity of...

We estimate a two-stage Heckman selection model of credit card adoption and use with a unique dataset that combines administrative data from the Equifax credit bureau and self-reported data from the Survey of Consumer Payment Choice, a representative survey of US consumers. Even though the...