Research Papers

We developed and tested a model explaining how growing up in a poor neighborhood impedes cognitive development, focusing on early life exposure to neurotoxic air pollution. We analyzed data from a national sample of American infants, examining their exposure to over 50 pollutants known or suspected to harm the central nervous system, using causal inference methods and supervised machine learning.

We aimed to uncover the mechanisms by which neighborhood poverty affects cognitive development. By identifying specific factors, such as neurotoxic air pollution, that mediate these effects, we sought to provide insights that could inform interventions and policies aimed at mitigating the adverse impacts of growing up in impoverished neighborhoods.

Our study shows that living in a high-poverty neighborhood increases exposure to harmful air pollutants during infancy, reducing cognitive abilities at age 4 by about one-tenth of a standard deviation. Understanding these mechanisms is crucial for developing targeted interventions to improve cognitive outcomes for children in poor neighborhoods and addressing environmental health disparities.

We investigated the impact of the early withdrawal penalty on Individual Retirement Accounts (IRAs) by examining withdrawal behavior shortly before and after the penalty is lifted.

We aimed to understand how the expiration of the early withdrawal penalty affects withdrawal behavior, particularly the timing and magnitude of withdrawals, and to explore the influence of liquidity constraints.

Our goal was to inform policymakers about the effects of the early withdrawal penalty on retirement savings behavior, which can guide decisions on adjusting or temporarily removing such penalties.

We measured the impact of the Alaska Permanent Fund Dividend on price levels using a synthetic control method to compare Alaska with similar states before the dividend’s introduction.

We aimed to determine whether unconditional cash transfers, like the Alaska Permanent Fund Dividend, stimulate consumer spending and increase price levels.

Our findings help us understand the inflationary effects of unconditional cash transfers, informing policymakers about potential economic impacts and guiding future decisions on similar programs.

We followed 1,266 children in Chicago from birth through school entry, tracking their risk of lead exposure and neighborhood socioeconomic composition to estimate the joint effects on receptive vocabulary ability.

We aimed to address the gap in research on the impact of disadvantaged neighborhoods on cognitive development during early childhood, as most studies focus on school-age children or adolescents.

Our findings show that sustained exposure to disadvantaged neighborhoods reduces vocabulary skills in early childhood through lead contamination. Understanding this causal pathway is crucial for developing interventions to improve cognitive outcomes for children in impoverished neighborhoods and addressing environmental health disparities, promoting better long-term educational and developmental prospects.

We explored the contributions of Black economists to research on major economic and social policy issues in the United States, focusing on education, poverty, economic mobility, and public finance to identify common themes.

We aimed to highlight the unique perspectives and critical engagement of Black economists on economic policy issues, examining both individual and structural explanations for economic outcomes.

Our findings underscore the significance of diverse viewpoints in economic research, emphasizing the impact of race and discrimination, and the need for inclusive frameworks in policy discussions.

We used the Current Population Survey and a synthetic control method to examine the impact of the Alaska Permanent Fund dividend on employment and part-time work.

We aimed to assess whether the annual cash dividend influenced overall employment levels and part-time work, providing insights into the economic effects of universal cash transfers.

Our findings suggest that a universal and permanent cash transfer can stimulate the local economy without significantly decreasing aggregate employment, offering valuable evidence for policymakers considering similar programs.

We estimated the elasticity of consumption with respect to typical labor income shocks using firm-wide changes in monthly pay, and analyzed how this elasticity varies by wealth and race, using administrative bank account data.

We sought to understand the consumption responses to typical income fluctuations and explore how wealth and racial disparities affect consumption smoothing, addressing an open question about heterogeneity in consumption responses.

Our findings reveal significant racial disparities in consumption smoothing, with black and Hispanic households experiencing higher welfare costs from income volatility than white households, primarily due to differences in liquid wealth, offering insights into economic inequality and its impact on welfare.

We conducted a 2-year randomized clinical trial involving 4834 employees at the University of Illinois at Urbana-Champaign to evaluate the effects of a comprehensive workplace wellness program on health, health beliefs, and medical use.

We aimed to determine whether such programs improve employee health and reduce medical costs, as randomized evaluations of workplace wellness program efficacy are rare.

Our study provides evidence that while the program did not significantly impact clinical health outcomes or medical use, it positively influenced health beliefs and increased the number of employees reporting having a primary care physician, offering insights for employers considering similar initiatives.

We developed a new method for estimating randomized intervention analogues to the natural direct effect (rNDE) and the natural indirect effect (rNIE) in the presence of treatment-induced confounders.

We aimed to address the challenge of estimating mediation effects when treatment-induced confounders complicate the mediator-outcome relationship. Existing methods require cumbersome weighting procedures, making them difficult to use. Our method provides a more practical and accessible approach for researchers by utilizing simpler regression-based techniques.

Our approach allows researchers to estimate mediation effects more efficiently and accurately, even when treatment-induced confounders are present. By simplifying the estimation process, this method makes causal mediation analysis more accessible and robust.

We introduced “residual balancing” as an alternative method for constructing weights in marginal structural models (MSMs) to estimate time-varying treatment effects, aiming to address issues inherent in inverse probability weighting (IPW).

We sought to overcome limitations of IPW, such as inefficiency, sensitivity to model misspecification, and difficulty with continuous treatments.

Residual balancing improves the efficiency and robustness of estimating marginal treatment effects in the presence of time-varying confounders. By offering a more reliable and user-friendly alternative to IPW, it enhances causal inference accuracy in observational studies.