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...

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 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 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...

In this study, we quantify the effects of receiving stocks from certain brands on spending in the brand's stores. We use data from a new FinTech company called Bumped that opens brokerage accounts for its users and rewards them with stocks when they shop at previously elected stores. For...

This paper incorporates expectations-based reference-dependent preferences into the canonical Lucas-tree asset-pricing economy. Expectations-based loss aversion increases the equity premium and decreases the consumption-wealth ratio, because uncertain fluctuations in consumption are more...

I incorporate expectations-based reference-dependent preferences into a dynamic stochastic model to explain three major life-cycle consumption facts; the intuitions behind these three implications constitute novel connections between recent advances in behavioral economics and prominent ideas in...

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)...