Increased competition from the internet has raised concerns about the quality of prescription drugs sold online. Given the pressure from the Department of Justice, Google agreed to ban pharmacies not certified by the National Association of Boards of Pharmacy (NABP) from sponsored search...

Thanks to big data, artificial intelligence (AI) has spurred exciting innovations. In the meantime, AI and big data are reshaping the risk in consumer privacy and data security. In this essay, I first define the nature of the problem and then present a few facts about the ongoing risk. The bulk...

We use a unique dataset that combines information on advertising by subprime lenders and mortgages originated by them from 2002 to 2007 to study the relationship between advertising and the nature of mortgages obtained by consumers. We exploit the richness of our data and measure the relative...

Agents with more experience make better choices. We measure learning dynamics using a panel with four million monthly credit card statements. We study add-on fees, specifically cash advance, late payment, and overlimit fees. New credit card accounts generate fee payments of $15 per month....

Intertemporal preferences are difficult to measure. We estimate time preferences using a structural buffer stock consumption model and the Method of Simulated Moments. The model includes stochastic labor income, liquidity constraints, child and adult dependents, liquid and illiquid assets,...

Strong bequest motives can explain low retirement spending, but so equally can strong precautionary motives. Given this identification problem, the recent tradition has been largely to ignore bequest motives. We develop a rich model of spending in retirement that allows for both motives, and...

We describe a regulatory framework that helps consumers who have difficulty sticking to their own long-run plans. Early Decision regulations help long-run preferences prevail by allowing consumers to partially commit to their long-run goals, making it harder for a momentary impulse to reverse...

During the COVID-19 pandemic, states issued and then rescinded stay-at-home orders that restricted mobility. We develop a model of learning by deregulation, which predicts that lifting stay-at-home orders can signal that going out has become safer. Using restaurant activity data, we find that...

Beginning in 1997, the Food and Drug Administration (FDA) allowed television advertisements to make major statements about a prescription drug, while referring to detailed drug information on the internet (FDA 1997; 2015). The hope was that consumers would seek additional information online to fully...

This paper investigates the impact of lower mortgage rates on household balance sheets and other economic outcomes during the housing crisis. We use proprietary loan-level panel data matched to consumer credit records using borrowers' Social Security numbers, which allows for accurate...