Knowledge that Transforms

Is there latent demand to support Black-owned businesses? We explore this question by analyzing a new feature that made it easier to identify Black-owned restaurants on an online platform. We find that labeling restaurants as minority-owned increased customer engagement and firm performance, as measured by online traffic, calls, orders, and in-person visits. These effects were more pronounced in areas characterized by greater support for the Democratic Party and lower implicit bias against racial minorities. Labeled restaurants also see an increase in the fraction of reviews that are written by White customers. (JEL D22, J15, L25, L83, L86)

Software is one of the most important assets that needs to be priced in the digital economy. It has emerged as a disruptive technology, with companies primarily valued for their software offerings growing from 2 percent to 13 percent of market share between 1996 and 2023. We document persistent anomalies in growth forecasts and stock returns for software companies, indicating significant deviations from rational expectations over multiple decades. Our findings are consistent with Bayesian investors gradually learning about software’s growing importance, highlighting how markets can be very slow to discern fundamental shifts from transient shocks in noisy data. (JEL D22, G12, G32, L14, L86)

With a growing mental health crisis and a shortage of behavioral health specialists, those seeking mental health treatment often face long wait times to obtain care. I study how clinic congestion affects mortality for veterans experiencing mental health emergencies. I find that longer waiting times make it more likely that patients miss their follow-up mental health visit, consequently increasing the probability that they permanently disengage from care. A 1 standard deviation increase in wait time between the emergency department visit and follow-up appointment date (11.7 days) increases two-year mortality by about 1.5 percent. (JEL H51, I12, I13, I18)

We design and field an innovative survey of unemployment insurance (UI) recipients that yields new insights about wage stickiness on the layoff margin. A majority of UI recipients would accept pay cuts of 5–10 percent to save their jobs, and one-third would accept a 25 percent cut. Yet worker-employer discussions about cuts in pay, benefits, or hours in lieu of layoffs are exceedingly rare. Roughly one-quarter of the layoffs in our sample violate the theoretical condition for bilaterally efficient separations. We draw on our findings and other evidence to assess theories of wage stickiness and its role in layoffs. (JEL C83, E24, J31, J63, J65)

We study neighborhood choice using a novel research design that contrasts the move rate of homeowners who receive a new different-race neighbor immediately next-door versus slightly farther away on the same block. This approach isolates a component of preferences directly attributable to neighbors’ identities. Both Black and White homeowners are more likely to move after receiving a new different-race neighbor. Findings are robust to additional controls (e.g., income) and alternative research designs. We find evidence of heterogeneity in responses, especially associated with housing density, which has implications for understanding contemporary neighborhood racial change and prospects for maintaining stable, integrated neighborhoods. (JEL D91, J15, R23, R31)

We provide the first evidence on how workers invest in human capital after losing ability. Using quasi-random work accidents in Danish administrative data, we find that workers enroll in bachelor’s programs after physical injuries, pursuing degrees that build on their past training and experience. Exploiting institutional differences in the stackability of degrees, we find that higher education moves injured workers from disability benefits to full-time employment, earning 25 percent more than before injury. Reskilling subsidies for injured workers pay for themselves four times over, and current rates of reskilling are substantially below the social optimum, especially for middle-aged workers. (JEL I26, J14, J24, J62)

A nested bundling strategy creates menus in which more expensive bundles include all the goods of less expensive ones. We study when nested bundling is optimal and determine which nested menu is optimal, when consumers differ in one dimension. We define a partial order on bundles by (i) set inclusion and (ii) sales quantity when sold alone. We show that, under quasi-concavity assumptions, if the undominated bundles with respect to this partial order are nested, then nested bundling is optimal. We present an iterative algorithm that identifies the minimal optimal menu consisting of a subset of the undominated bundles. (JEL D11, D21, D42, D82, M31)

We document a robust dynamic inconsistency in risky choice. Using a unique brokerage dataset and a series of experiments, we compare people's initial risk-taking plans to their subsequent decisions. Across settings, people accept risk as part of a loss-exit strategy—planning to continue taking risk after gains and stopping after losses. Actual behavior deviates from initial strategies by cutting gains early and chasing losses. More people accept risk when offered a commitment to their initial strategy. Our results help reconcile seemingly contradictory findings on risk-taking in static versus dynamic contexts. We explore implications for theory and welfare. (JEL D81, G13, G24, G41)

The transition toward an intangible-intensive economy reshapes financial systems by creating a self-perpetuating savings glut in the production sector. As intangibles become increasingly important, firms hoard liquidity to finance investment in intangibles of limited pledgeability. Firms’ savings feed cheap leverage to financial intermediaries and allow intermediaries to bid up asset prices, which in turn encourages firms to save more for asset creation. This paper develops a macrofinance model that offers a coherent account of rising corporate savings, debt-fueled growth of intermediaries, declining interest rates, and rising asset valuation. Along these secular trends, endogenous financial risk accumulates. (JEL E43, E44, G12, G21, G31, G32)

This paper analyzes recognition of women's innovative ideas compared to men's using bibliometric data in economics, mathematics, and sociology. I establish similarities between papers to construct relevant counterfactual citations. On average, all-female papers receive 10 percent fewer citations than all-male papers, a disparity reduced by 40 percent when considering team sizes and disappearing in most fields with authors' publication records. Additionally, strong in-group preferences emerge: All-male teams omit more papers with women, and vice versa. Accounting for publication histories, female scholars are cited 0 percent (economics) to 11 percent (mathematics) less, with early-career women enduring a 9–14 percent citation penalty. (JEL A14, C45, I23, J16)