We show that sticky prices exacerbate household hoarding of storable goods. When stores are slow to adjust prices following a cost shock, households have an incentive to stockpile just as in a typical retail sale. This incentive is present even in the absence of traditional panic or...

Hoarding by large speculators is often blamed for contributing to commodity market panics and bubbles. Using supermarket scanner data on US household purchases during the 2008 Rice Bubble, we show that hoarding is in fact more systemic, affecting even households who have no resale motive. Export...

We study the welfare implications of scalable price targeting, an extreme form of third-degree price discrimination implemented with machine learning for a large, digital firm. Targeted prices are computed by solving the firm's Bayesian Decision-Theoretic pricing problem based on a database with...

A long literature has developed econometric methods for estimating individual-consumer-level demand systems that accommodate corner solutions. The increasing access to transaction-level customer purchase histories across a wide array of markets and industries vastly expands the prospect for...

We run in-store blind taste tests with a retailer's private label food brands and the leading national brand counterparts in three large CPG categories. In a survey administered during the taste test, subjects self-report very high expectations about the quality of the private labels relative to...

We test for and measure the effects of cable news in the US on regional differences in compliance with recommendations by health experts to practice social distancing during the early stages of the COVID-19 pandemic. We use a quasi-experimental design to estimate the causal effect of Fox News...

We study the long-run evolution of brand preferences, using new data on consumers' life histories and purchases of consumer packaged goods. Variation in where consumers have lived in the past allows us to isolate the causal effect of past experiences on current purchases, holding constant...

We present a survey design that generalizes static conjoint experiments to elicit inter-temporal adoption decisions for durable goods. We show that consumers' utility and discount functions in a dynamic discrete choice model are jointly identified using data generated by this specific design. In...

We estimate the effect of information and expertise on consumers' willingness to pay for national brands in physically homogeneous product categories. In a detailed case study of headache remedies we find that more informed or expert consumers are less likely to pay extra to buy national brands,...

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...