Using a large survey panel that connects household shopping behavior with individual health information, this paper documents correlations between self reported depression and the size and composition of shopping baskets. First, we find that roughly 16% of individuals report suffering from...

Using the Consumer Expenditure Survey and variation in amount, receipt, and timing of receipt of Economic Impact Payments (EIPs) authorized by the CARES Act, this paper estimates that people spent less of their EIPs in the few months following arrival than in similar previous policy episodes and...

The post-COVID price surge has reignited interest in inflation's impact on American households. Even if anticipated and with full market adjustments, inflation affects households through its interaction with the fiscal system, which is the focus of this paper. Inflation affects households...

This paper introduces consumption segregation, a new margin of residential segregation, and examines its patterns, causes, and discusses its aggregate consequences. We use new longitudinal and highly granular data to measure consumption segregation in the United States and document that it is...

We study how monetary policy affects subcomponents of the Personal Consumption Expenditures Price Index (PCEPI) using local projections. Following a monetary policy contraction, the response of aggregate PCEPI turns significantly negative after over three years. There are stark differences in...

We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased more in economies with...

We build a model of online behavioral manipulation driven by AI advances. A platform dynamically offers one of n products to a user who slowly learns product quality. User learning depends on a product's "glossiness,' which captures attributes that make products appear more attractive than they...

We develop and estimate a model of consumer search with spatial learning. Consumers make inferences from previously searched objects to unsearched objects that are nearby in attribute space, generating path dependence in search sequences. The estimated model rationalizes patterns in data on...

For some kinds of goods, rarity itself is valued. "Fashionable'" goods are demanded in part because they are unique. In this paper, we explore the economics of rare goods using auctions of limited-edition shoes held by an e-commerce platform. We model endogenous entry and bidding in multi-unit...