Income Versus Asset Poverty: Multi-Level Mechanisms Influencing Child Well-Being

Background. The detrimental effects of economic hardship on child development are well-documented. And many studies used household income as a widely adopted measure of economic hardship to examine the relationship between income and child development. However, wealth measures another dimension of household economic status and has been less explored. This study investigates the complex, multi-level mechanisms, encompassing household, school, and community-level factors, through which income and asset poverty independently influence children’s internalizing and externalizing behaviors.

Methods. Data were drawn from the two most recent waves (2019 and 2021) of the Panel Study of Income Dynamics (PSID) by merging the Main Study with the Child Development Supplement. The final analytic sample consisted of 508 children with a mean caregiver age of 42.12 (SD=7.43 years) and an average child age of 13.82 (SD=1.68 years) in 2019. Income poverty was measured by comparing household income to the federal poverty line, while asset poverty was defined as household assets falling short of three months of basic living expenses at the poverty threshold. Child behavioral health was measured using the internalizing and externalizing subscales of the Strengths and Difficulties Questionnaire. Structural Equation Modeling was employed to investigate the comprehensive multi-level mediation mechanisms, examining potential explanatory pathways across individual, household, school, and neighborhood levels.

Results. The structural equation models fit the data well (e.g., CFI = .924- .927; RMSEA = .024-.033; SRMR = .034-.043). Although the results revealed no significant direct effects of either income or asset poverty on child behavioral outcomes, the relationship between income poverty and child behavioral health was fully mediated by caregiver psychological distress for both child internalizing (b = 0.07, p < 0.05) and externalizing (b = 0.07, p < 0.05) problems. This is perfectly aligned with the Family Stress Model theory. By contrast, household asset poverty affected child behavioral health through more complex, multi-level mechanisms. The effect of asset poverty on children's internalizing behaviors was jointly carried by reduced peer support and adverse community conditions (b = 0.07, p < 0.05). For asset poverty on child externalizing behavior health outcomes, the mediation pathway extended further, combining a lack of friends, neighborhood disadvantages, and elevated child depressive symptoms (b = 0.06, p < 0.05).

Conclusions and Implications. The findings indicate that income and asset poverty affect child behavioral health through different pathways within a multifaceted system. Therefore, traditional social assistance programs, such as direct cash transfers, remain essential for reducing financial hardship and stabilizing caregiver mental health, which further decreases child behavioral health problems. However, given the complex, multilevel pathways linking asset poverty to child behavioral health outcomes, policy solutions should extend beyond income assistance. Asset-based poverty reduction policies, such as Child Development Accounts (CDAs) and comprehensive financial education programs for children and families, are needed to help families build long-term economic security and buffer against systemic shocks. Furthermore, the identification of school- and community-level mediators highlights the need for holistic strategies that actively invest in broader ecological and educational ecosystems to effectively protect and support economically vulnerable children and families.