Companies near constantly surveil their customers to collect, analyze, and profit from their private information. A prevailing concern is that the market for private data and security breaches expose consumers to financial fraud. In this study, we exploit Apple's App Tracking Transparency (ATT)...

Because of limitations in survey-based measures of household consumption, a growing literature uses an alternative measure of consumer expenditures commonly referred to as "imputed consumption." This approach typically utilizes annual snapshots of household income and wealth from administrative...

We use individual-level data on all security trades, holdings, spending, and income from an online retail bank. We study the effects of an exogenous change in the displayed purchase prices of the mutual funds in individuals' portfolios. We find that individuals are more likely to sell what we...

We use transaction-level data of portfolio trades and holdings linked to checking, savings, and settlement account transactions and balances to explore how individuals respond to realized capital gains and losses. We exploit plausibly exogenous sales due to mutual fund liquidations for...

We study whether savings nudges have the unintended consequence of additional borrowing in high-interest credit. We use data from a pre-registered experiment that encouraged 3.1 million bank customers to save via SMS messages and train a machine learning algorithm to predict individual-level...

Using high-frequency transaction-level income, spending, balances, and credit limits data from an online financial service, we show that many consumers fail to stick to their self-set debt paydown plans and argue that this behavior is best explained by a model of present bias. Theoretically, we...

This paper shows that air quality has a significantly negative effect on the likelihood of individual investors to sit down, log in, and trade in their brokerage accounts controlling for investor-, weather-, traffic-, and market-specific factors. In perspective, a one standard deviation increase...

The 2020 CARES Act directed large cash payments to households. We analyze house-holds' spending responses using high-frequency transaction data from a Fintech non-profit, exploring heterogeneity by income levels, recent income declines, and liquidity as well as linked survey responses about...

We explore how household consumption responds to epidemics, utilizing transaction-level household financial data to investigate the impact of the COVID-19 virus. As the number of cases grew, households began to radically alter their typical spending across a number of major categories. Initially...

We study shareholder support for corporate board nominees in the context of the California gender quota, which was passed in 2018. Using hand-collected data for approximately 600 firms, we show that, prior to the quota, female nominees received greater shareholder support than their male...