Does mental accounting matter for total consumption expenditures? We exploit a unique setting in which individuals exogenously received a new credit card, without requesting one. Using random variation in the time of receipt we show that individuals temporarily increase total consumption...

Professional house price forecast data are consistent with a rational model where agents must learn about the parameters of the house price growth process and the underlying state of the housing market. Slow learning about the long-run mean can generate forecast bias, a response of forecasts to...

Recordkeepers in DC pension plans are often paid indirectly in the form of revenue sharing from third-party funds on the menu. We show that these arrangements affect the investment menu of 401(k) plans. Revenue-sharing funds are more likely to be added to the menu and are less likely to be...

Using friendship data from Facebook, we study the effects of three aspects of social capital on household financial behavior. We find that the most important measure of social capital in explaining stock market and saving participation is Economic Connectedness, defined as the fraction of one's...

According to ECB (2023) and European Systemic Risk Board (2022), Swedish owner-occupied housing (OOH) was overvalued by about 55% in 2021q2, the largest overvaluation in the EU and EEA; according to European Commission (2023c), by about 30% in 2022. These assessments affect warnings and...

Open banking (OB) empowers bank customers to share transaction data with fintechs and other banks. 49 countries have adopted OB policies. Consumer trust in fintechs predicts OB policy adoption and adoption spurs investment in fintechs. UK microdata shows that OB enables: i) consumers to access...

This paper uses transaction-level data across millions of accounts to identify cryptocurrency investors and evaluate how fluctuations in individual crypto wealth affect household consumption, equity investment, and local real estate markets. We estimate an MPC out of unrealized crypto gains that...

Existing macroeconomic models focused on bank balance sheet lending are deficient because they do not account for the modern industrial organization of financial intermediation. Utilizing publicly available micro-level lending data, we investigate two increasingly significant margins of...

FinTech lending--known for using big data and advanced technologies--promised to break away from the traditional credit scoring and pricing models. Using a comprehensive dataset of FinTech personal loans, our study shows that loan rates continue to rely heavily on conventional credit scores,...

We develop and estimate a life-cycle consumption savings model in which observed genetic variation is allowed to affect wealth accumulation through several distinct channels. We focus on genetic markers that predict educational attainment, aggregated into a predictive index called a polygenic...