The Covid-19 Pandemic has led to changes in consumer expenditure patterns that can introduce significant bias in the measurement of inflation. I use data collected from credit and debit transactions in the US to update the official basket weights and estimate the impact on the Consumer Price...

We build a publicly available platform that tracks economic activity at a granular level in real time using anonymized data from private companies. We report daily statistics on consumer spending, business revenues, employment rates, and other key indicators disaggregated by county, industry,...

We present the first objective evidence on how COVID-19 lockdowns affected internet browser usage in Africa, using detailed digital trace data on PC-based and mobile-based browsing patterns of 316 Kenyans who had access to a PC, covering the period before and during Kenya's first national...

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...

Using data from a prominent online platform for launching new digital products, we document that the composition of the platform's 'beta testers' on the day a new product is launched has a systematic and persistent impact on the venture's success. Specifically, we use word embedding methods to...

This study provides a structural analysis of detailed, alternating-offer bargaining data from eBay, deriving bounds on buyers and sellers private value distributions using a range of assumptions on behavior. These assumptions range from very weak (assuming only that acceptance and rejection...

This paper develops and implements a series of tests of costly attention models, in the context of consumer misreaction to opaque prices. We derive a series of predictions about how the sign and magnitude of misreaction varies with stakes. We then test and confirm these predictions in an...

We use U.S. eBay data to investigate how trade is influenced by differences in socioeconomic characteristics, tastes, and trust. States' similarity in cultural characteristics (ethnicity, religious affiliations, and political behavior) is predictive of online trade; cultural similarity similarly...