We study the frictions in dealer-intermediation in residential real estate through the lens of "iBuyers," technology entrants, who purchase and sell residential real estate through online platforms. iBuyers supply liquidity to households by allowing them to avoid a lengthy sale process. They sell houses quickly and earn a 5% spread. Their prices are well explained by a simple hedonic model, consistent with their use of algorithmic pricing. iBuyers choose to intermediate in markets that are liquid, and in which automated valuation models have low pricing error. These facts suggest that iBuyers' speedy offers may come at the cost of information loss concerning house attributes that are difficult to capture in an algorithm, resulting in adverse selection. We calibrate a dynamic structural search model with adverse selection to understand and quantify the economic forces underlying the tradeoffs of dealer intermediation in this market.
Journal of Political Economy2026134(1), 397-434open access
In a randomized controlled trial, we test whether removal of a barrier to exercise can improve academic performance.We find strong support for this hypothesis: university students who were provided with a free gym card exercised more and had a significant improvement in academic performance.The treated students were both less likely to drop out of classes and to fail at the exam.We provide evidence showing that exercise caused a healthier lifestyle and increased perceived self-control, which ultimately improved academic performance.The study demonstrates that removing barriers to physical activity can be an important tool for improving educational achievements.