Knowledge that Transforms

We identify phrases associated with novel technologies using textual analysis of patents, job postings, and earnings calls, enabling us to identify four stylized facts on the diffusion of jobs relating to new technologies. First, the development of economically impactful new technologies is geographically highly concentrated, more so even than overall patenting: 56% of the most economically impactful technologies come from just two U.S. locations, Silicon Valley and the Northeast Corridor. Second, as the technologies mature and the number of related jobs grows, hiring spreads geographically. This process is very slow, taking around 50 years to disperse fully. Third, while initial hiring in new technologies is highly skill-biased, over time the mean skill level in new positions declines, drawing in an increasing number of lower-skilled workers. Finally, the geographic spread of hiring is slowest for higher-skilled positions, with the locations where new technologies were pioneered remaining the focus for the technology's high-skill jobs for decades.

Student loans with income-contingent repayment insure borrowers against income risk but can reduce their incentives to earn more. Using a change in Australia’s income-contingent repayment schedule, I show that borrowers reduce their labor supply to lower their repayments. These responses are larger among borrowers with more hourly flexibility, a lower probability of repayment, and tighter liquidity constraints. I use these responses to estimate a dynamic model of labor supply with frictions that generate imperfect adjustment. My estimates imply that the labor supply responses to income-contingent repayment limit the optimal amount of insurance in government-provided student loans. However, these responses are too small to justify fixed-repayment contracts: restructuring existing student loans from fixed repayment to a constrained-optimal income-contingent loan—while keeping the tax and transfer system unchanged—increases borrower welfare by the equivalent of a 0.8% increase in lifetime consumption at no additional fiscal cost.

Two in five Americans have medical debt, nearly half of whom owe at least $2,500. Concerned by this burden, governments and private donors have undertaken large, high-profile efforts to relieve medical debt. We partnered with RIP Medical Debt (now Undue Medical Debt) to conduct two randomized experiments that relieved medical debt with a face value of $169 million for 83,401 people between 2018 and 2020. Our experiments focused on downstream medical debt that had been sold to debt collectors, and one of our experiments straddled an industry-wide pullback in the reporting of medical debt to the credit bureaus, allowing us to estimate the effects of debt relief with and without counterfactual reporting. We track outcomes using credit reports, collections account data, and a multimodal survey. There are three sets of results. First, we find a modest improvement in credit access when there is counterfactual credit reporting, but no impact on credit report outcomes when there is not. Second, we estimate that debt relief causes a moderate but statistically significant reduction in payments of existing medical bills. Third, we find no effects on survey measures of mental and physical health, healthcare utilization, and financial wellness. Taken together, our results indicate that the strong correlations documented in prior research do not translate into causal effects for downstream medical debt relief.

In all OECD countries, mandatory notice (MN) policies require firms to inform workers in advance of a layoff. In our theoretical framework, MN helps workers avoid unemployment and find better jobs by encouraging them to search for a new job while still employed, thereby increasing future production. The magnitude of this production gain depends on the relative effectiveness of search while employed versus unemployed. But on-the-job search and diminished work incentives reduce current production. If future gains outweigh current production losses, longer advance notice improves production efficiency. If not, Coasian bargaining predicts that firms offer a larger severance instead of longer notice. With bargaining, the sole efficiency loss of MN is due to delayed separations of unproductive job matches. We test these predictions using novel Swedish administrative data on layoff notifications. Workers eligible for extended MN receive longer notice and larger severance, resulting in less exposure to nonemployment spells and higher-paying jobs. These favorable labor market outcomes are solely due to longer notice; in contrast, larger severance delays job finding and has no impact on wages. We also show that advance notice replaces job search while unemployed with more effective search while employed. On the production side, we document a productivity drop among notified workers and estimate a production loss due to delayed separations. Using our estimates of production gains and losses to evaluate the overall production efficiency, we conclude that the gains of MN seem to outweigh the losses.

ABSTRACT This article studies the effects of the largest residential racial desegregation initiative in U.S. history, the Gautreaux Assisted Housing Program. From the late 1970s to the 1990s, Gautreaux moved thousands of Black families into predominantly white neighborhoods to support racial and economic integration. We link historical program records to administrative data and use plausibly exogenous variation in neighborhood placements to study how desegregating moves affect children in the long run. Being placed in the predominantly white neighborhoods targeted by the program significantly increases children’s future lifetime earnings and wealth. These moves also increase the likelihood of marriage and particularly raise the probability of being married to a white spouse. Moreover, placements through Gautreaux affect neighborhood choices in adulthood. Those placed in predominantly white neighborhoods during childhood live in more racially diverse areas with higher rates of upward mobility nearly 40 years later.

A long-standing and influential view in U.S. correctional policy is that “nothing works” when it comes to rehabilitating incarcerated individuals. We revisit this hypothesis by studying an innovative law-enforcement-led program launched in the county jail of Flint, MI: Inmate Growth Naturally and Intentionally through Education (IGNITE). We develop an instrumental variables approach to estimate the effects of IGNITE exposure, leveraging quasi-random court delays that cause individuals to spend more time in jail before and after the program’s launch. Holding time in jail fixed, we find that one additional month of IGNITE exposure reduces weekly misconduct in jail by 25% and three-month recidivism by 24%, with the recidivism effects growing over time. Surveys of staff and community members, along with administrative test-score records and within-jail text messages, suggest that cultural change and improved literacy and numeracy scores are contributing mechanisms.

Is government guiding the invisible hand at the top of the labor market? We use new administrative data to measure physicians’ earnings and estimate the influence of health care policies on these earnings, physicians’ labor supply, and the allocation of talent. Combining the administrative registry of U.S. physicians with tax data, Medicare billing records, and survey responses, we find that physicians’ annual earnings average $350,000 and make up 8.6% of national health care spending. Business income makes up one-quarter of earnings and is systematically underreported in survey data. Earnings increase steeply early in the career, and there are major differences across specialties, regions, and firm sizes. The geographic pattern of earnings is unusual compared with other workers. We argue that these patterns reflect policy choices to subsidize demand for physician care, amplified by restrictions on physician entry, especially in certain specialties. Health policy has a major impact on the margin: 25% of physician fee revenue driven by Medicare reimbursements accrues to physicians personally. Physicians earn 8% of public money spent on insurance expansion. These policies in turn affect the type and quantity of medical care physicians supply, retirement timing, and the allocation of talent across specialties.

We show that the likelihood of a liquidity crunch in wholesale U.S. dollar funding markets depends on levels of reserve balances at the financial institutions that are the most active intermediaries of these markets. Heightened risk of an imminent liquidity crunch is signaled by significant delays in intraday payments to these large financial institutions over the prior two weeks. Our study contributes to the broader dialogue surrounding the Federal Reserve’s ongoing quantitative tightening.

We conduct a randomized controlled trial to evaluate the effect of an innovative police patrol program on sexual harassment in public spaces in Hyderabad, India. In collaboration with the Hyderabad City Police, we randomize exposure to police patrols and the visibility of officers by deploying both uniformed and undercover officers across 350 hot spots. To assess the effect, we implement a novel, high-frequency observation exercise to measure sexual harassment at these hot spots, where enumerators recorded all observed instances of sexual harassment and women’s responses in real time. We find that although police patrols had no effect on overall street harassment, uniformed police patrols reduced severe forms of harassment (forceful touching, intimidation) by 27% and reduced the likelihood of women leaving the hot spot due to sexual harassment. We uncovered the underlying mechanisms and found that both police visibility and officers’ attitudes toward sexual harassment are key to understanding its incidence.

We develop a new methodology to estimate subjective beliefs from hypothetical-choice data. Our identification approach is based on the novel insight that by varying the amount of information on future realizations of stochastic variables, discrete-choice experiments can identify not only preferences but also subjective beliefs. We formally prove this result in a general setting and apply it to design a strategic survey instrument to measure Rajasthani parents’ subjective beliefs over the joint distribution of girls’ age of marriage, education, and marriage match quality. Our approach allows us to quantify the importance of perceived marriage market returns to education and youth, and perform various counterfactual simulation exercises. We find that eliminating the perceived marriage market return to education causes a 60% drop in the number of girls still in school at age 16, and almost none continue their education by age 18. Responses to our strategic survey instrument allow us accurately to predict realized schooling trajectories in follow-up data we collect from the same sample five years after our experimental data collection.