Highlighted Publications




 

Jensen and Zhang (2024) study whether the death of a parent affects the labor market outcomes of adult children. They ask whether parental loss leads to changes in earnings, employment, or work behavior. They analyze large administrative data linking Danish adults to their parents, tracking employment and earnings before and after a parent’s death. They find that parental death causes measurable declines in labor market performance. Adult children experience short-term earnin

Hensvik and Jävervall (2024) ask whether increased school competition reduces parental “voice,” measured through formal complaints about schools. They analyze administrative complaint data from Sweden’s national education authorities and link it to changes in local school competition following the expansion of independent schools under the voucher system. They find that greater competition is associated with fewer parental complaints to regulators. A one–standard deviation in

Shakya (2026) asks whether participation in a pre-collegiate summer bridge program improves early college outcomes for economically disadvantaged and first-generation students. He analyzes student-level administrative data from a large U.S. public land-grant university, focusing on applicants to the Bridge Scholars Program between 2016 and 2022. Using a fuzzy regression discontinuity design based on a $16,000 Expected Family Contribution eligibility cutoff, he estimates causa

Postel (2026) asks how U.S. immigration policy has shaped the scale, composition, and socioeconomic outcomes of Asian immigration over time. She synthesizes historical census data, immigration records, and prior empirical studies covering the mid-1800s through 2019, focusing on major origin countries such as China, India, Japan, Korea, the Philippines, and Vietnam. She finds that policy shifts—especially the 1965 Immigration and Nationality Act—produced dramatic population gr

Hahn, Hendren, Metcalfe, and Sprung-Keyser (2025) ask which climate policies generate the largest social welfare gains per dollar of government spending. They analyze evidence from 96 U.S. climate-related tax and spending policies evaluated using experimental or quasi-experimental methods over the past 25 years. Using the marginal value of public funds (MVPF) framework, they estimate each policy’s benefits relative to its fiscal cost. They find subsidies for clean electricity

Cordova-Ramos et al. (2026) examine how U.S. preterm birth rates vary over time by household income and whether racial and ethnic disparities persist across income groups. They analyze nationally representative Pregnancy Risk Assessment Monitoring System (PRAMS) data covering 411,469 mother–infant dyads from 2011–2021. They find that preterm birth rates increased among households below 200% of the federal poverty level but remained stable among higher-income households. Overa

Crespin (2025) examines whether publicly releasing school social climate ratings affects housing prices and the socioeconomic sorting of homebuyers. He studies a plausibly exogenous information shock in Chicago in 2011, when school climate reports were first made public. He links parcel-level housing transaction data from Zillow (ZTRAX) with homebuyer income data from HMDA and school administrative records. He finds that homes zoned to the highest-rated schools saw price incr

Hase and Kasinger (2025) examine whether organized retail crime leads stores to raise prices and how those increases affect consumers. They study the Washington State cannabis market, matching store-level robbery and burglary data to detailed scanner data covering every retail transaction between 2018 and 2021. Using a difference-in-differences design, they find that victimized stores raise prices by about 1.8 percent within four months of a crime. Nearby rival stores raise p

Lawson and Sass (2026) study how teachers’ effectiveness changed when schools shifted from in-person to remote instruction. They ask whether the move to online learning altered relative teacher performance and which teacher traits predicted success. They analyze matched student–teacher administrative data from three large metro-Atlanta districts, using fall-to-winter math and reading test score growth for grades K–8. They find that variation in teacher effectiveness increased

Lin et al. (2026) examine whether state-level flavored e-cigarette sales bans are associated with changes in e-cigarette initiation. They ask if living in a state with a comprehensive flavor ban reduces the likelihood that never-users begin using e-cigarettes. They analyze data from Waves 4–7 of the Population Assessment of Tobacco and Health (PATH) Study (2017–2023), focusing on adolescents, young adults, and adults who had never used e-cigarettes at baseline. They find that

Singh, Zhou, Curtis, Maher, and Dumuid (2026) examined how after-school social media use is associated with adolescent well-being across development. They asked whether the relationship is nonlinear and whether it differs by age and sex. The study analyzed data from the South Australian Wellbeing and Engagement Collection, including 100,991 students (173,533 observations) from grades 4–12 between 2020 and 2022. They found a U-shaped pattern: moderate users generally showed th

Landon and Pope (2026) study whether changing how schools schedule instructional time—specifically longer school days paired with fewer school days—affects student achievement and teacher turnover  . They ask whether reallocating the same total annual instructional hours alters productivity. Using administrative data from over 2 million Los Angeles Unified School District students (2002–2012) and policy-driven calendar changes, they estimate causal effects. They find minimal

Wheldon, Tallapragada, and Thompson (2025) examine whether political ideology is associated with trust in scientists as sources of cancer information in the United States. They analyze cross-sectional data from the 2024 Health Information National Trends Survey, a nationally representative survey of U.S. adults. They find that overall trust in scientists is high (86%), but it declines as respondents become more politically conservative. Each one-point shift toward conservatis

Blazar et al. (2026) examine whether access to Maryland’s Teacher Academy (TAM) increases entry into teaching. They ask if a high school “grow-your-own” pathway affects students’ later education, careers, and earnings. They use statewide administrative data linking K–12 records, college enrollment and degrees, teacher employment, and unemployment insurance wages. They find that TAM exposure increased the probability of becoming a teacher by 0.6 percentage points, a 45% rise o

Wright, Arora, and Wright (2025) examine whether a non-binding commitment pledge combined with goal setting affects student achievement  . They ask if having students state a target grade, identify study actions, and sign a pledge improves academic performance. The study uses a randomized field experiment in four Principles of Macroeconomics sections at a public university, analyzing survey responses and official course records. Although treated students pledged higher grades

Gagliarducci, Paserman, and Patacchini (2025) examine whether hurricanes influence legislators’ support for climate-related environmental policy. They analyze data on federal disaster declarations (1989–2020) matched to U.S. House districts, combined with records of sponsorship and cosponsorship of “green” bills. They find that representatives from hurricane-hit districts are more likely to support environmental legislation, especially in the year after a storm. The effect is

Ebinger et al. (2025) investigated how the January 2025 Los Angeles wildfires affected local residents’ health. They asked whether emergency department encounters for specific illnesses increased during and after the fires. The study analyzed Cedars-Sinai emergency encounter data from 39 affected or adjacent zip codes, comparing the 90 days post-fire with the same calendar periods in 2018–2024 using interrupted time series models. They found significant excesses in acute pulm

Orr (2026) asks whether evidence-based policy clearinghouses give reliable advice to local policymakers when program impacts vary across places. He examines data from six large multisite randomized controlled trials in education and youth programs, drawing on site-level impact estimates and cross-site variation reported in prior studies. Using a Bayesian model, he evaluates how often a clearinghouse rule based on statistically significant average effects leads to correct loca

Wilk, Deza, Hodge, and Danagoulian (2026) ask whether recreational marijuana laws change adults’ eating habits and physical activity. They examine grocery purchase data from the NielsenIQ Consumer Panel, self-reported exercise from the Behavioral Risk Factor Surveillance System, and time-use data from the American Time Use Survey. They find that recreational marijuana laws increase spending on junk food by about 1.8 percent and raise the likelihood that a grocery trip include

Jacobs et al. (2026) ask whether collaborative robots (cobots) can be used to raise productivity while preserving jobs, rather than displacing workers. They examine existing research, industry case examples, and prior empirical studies on automation, worker safety, ergonomics, and labor markets, rather than analyzing a new dataset. They find that cobots tend to automate specific tasks instead of whole jobs, reducing physical strain and workplace injuries while increasing outp

Agan et al. (2025) ask whether clearing or sealing criminal records improves employment outcomes. They examine linked administrative court records from Maryland, New Jersey, Pennsylvania, and Texas merged with IRS tax data on earnings, employment, and gig work. They find that criminal charges—both convictions and non-convictions—are followed by large and persistent employment declines. However, removing records through Fair Credit Reporting Act rules or Clean Slate laws has l

Shekhar, Leder-Luis, and Akoglu (2026) ask whether unsupervised, explainable machine learning can effectively identify hospitals engaging in potentially fraudulent Medicare billing. They analyze millions of Medicare inpatient claims from 2017, combined with patients’ prior medical histories and hospital characteristics, covering over 2,200 hospitals. Using anomaly-detection algorithms, they rank hospitals based on suspicious coding and spending patterns. The authors find that

Darolia and Turner (2026) ask whether the rapid expansion of apprenticeships in the United States is being matched by credible evidence on program quality, outcomes, and skill development. They examine administrative data from the U.S. Department of Labor’s Registered Apprenticeship system, state-level apprenticeship records, and postsecondary enrollment and completion data. They find that apprenticeships have grown substantially since 2011, expanded into new industries, and

Cowell et al. (2025) ask whether there are specific weeks during pregnancy when exposure to fine particulate air pollution (PM2.5) has the strongest association with birth weight. They analyze data from 16,868 full-term singleton births in the U.S. Environmental Influences on Child Health Outcomes (ECHO) cohort, using weekly, address-level PM2.5 exposure estimates derived from machine-learning models. They find that higher prenatal PM2.5 exposure is associated with lower birt