1. Introduction
Fostering parental educational engagement and children’s hope is essential to promoting children’s long-term well-being and academic success. Recent international reports highlight a growing concern over youth well-being and educational disparities in the post-pandemic era [
1,
2], underscoring the urgency of identifying effective support systems for families. This aligns with a growing international focus on understanding and enhancing child well-being as a multidimensional construct, including psychological, social, and economic resources [
3]. While existing research links household assets and wealth to these crucial psychosocial factors, less is known about how asset-building policy interventions can actively shape parental educational engagement and children’s hope. This study leverages longitudinal data from a large-scale, statewide asset-building experiment to examine the impacts of Child Development Accounts (CDAs) on parental engagement and children’s hope. We seek to clarify the role of asset building as a key lever for enhancing the developmental resources that support children’s life outcomes.
1.1. The Critical Role of Parental Educational Engagement
Parental educational engagement and interaction with children are increasingly recognized as a critical factor influencing children’s academic trajectories, particularly in the transition to, and completion of, postsecondary education. Postsecondary educational engagement covers multiple dimensions, including academic communication, school-based involvement, and home-based engagement [
4,
5,
6]. Academic communication involves parents’ expectations, values, and the importance they attach to education [
7]. School-based involvement includes participation in school activities, parent–teacher conferences, and decision-making processes, while home-based involvement involves assisting with homework [
8], maintaining consistent communication about academic matters, and providing necessary resources and emotional support [
6].
Studies show that parental engagement during adolescence significantly boosts college aspirations and expectations [
8,
9]. Wang and Hill [
9] found that adolescents who reported frequent parent–child conversations about school and college were more likely to plan to pursue a 4-year degree. These effects were especially pronounced in families with no prior college-going history, suggesting that verbal encouragement and discussions about postsecondary paths can help mitigate the barriers of structural disadvantages. Parents who monitor academic progress, attend school events, and communicate with teachers positively influence their children’s postsecondary readiness. In a longitudinal study by Martínez and Ceballos [
10], high school students whose parents engaged regularly in academic monitoring were more likely to complete college-prep coursework and perform better on college entrance exams. This type of involvement provides both accountability and motivation, reinforcing the importance of education and increasing the likelihood of postsecondary enrollment.
Research consistently finds that strong parental educational engagement contributes to reduced rates of school dropout, incarceration, and substance use, while increasing the likelihood of children attaining college degrees and, ultimately, improving their health, employment prospects, and financial security in adulthood [
11,
12]. The predictive power of parental educational engagement on academic performance is substantial, with large effect sizes reported in multiple studies [
13,
14,
15]. Parental engagement tends to vary by socioeconomic status (SES), with low-SES parents often facing structural barriers to active school involvement. However, interventions aimed at supporting these parents have been shown to enhance their capacity to support their children’s postsecondary goals.
1.2. Hope as a Key Psychological Asset
Beyond educational outcomes, empirical research has established that parental educational engagement, alongside socioeconomic factors, such as income, wealth, and education, significantly shapes children’s psychological strengths and socioemotional development, including their hopes, expectations, and behaviors [
16,
17,
18].
Hope, especially among children and youth, is found to be a psychological strength in adverse social conditions [
19]. In children, hope means a set of cognitions that set workable goals and come up with pathways to achieve those goals, including essential beliefs about the capacity to move toward those goals [
20]. Children with high levels of hope are more effective in achieving the goals they set compared to those with low or no hope. Hope is especially crucial for children and youth navigating adverse social conditions, as it functions as a psychological asset that fosters resilience, life satisfaction, and enhanced well-being [
19]. Recent studies confirm that hope is a significant predictor of [
21] mental health and academic persistence among youth, functioning as a protective factor against contemporary stressors [
21]. Research indicates a strong association between hope and well-being, life satisfaction, and life quality of children.
The focus on hope and engagement fits within a broader conceptual and empirical landscape dedicated to understanding child well-being. International research increasingly emphasizes that child well-being is a multidimensional concept that requires measurement across various domains, including psychological strengths, social connections, and material resources [
3,
22]. Studies have successfully developed population-level assessments to capture these complex factors, from asset-based approaches in middle childhood to measures of attitudes and behaviors concerning sustainable development [
3]. This body of work establishes a clear precedent for examining specific psychosocial factors, like hope, as key indicators of overall well-being.
1.3. Connecting Assets, Engagement, and Hope
An important dimension of this discourse involves the role of household asset building in fostering both hope and constructive parent–child interaction. According to the asset-effects theory, asset building is associated with enhanced future orientation and optimism, not only for parents but also for children, as it provides tangible opportunities for education and personal development [
23]. Assets and wealth—beyond income—are influential drivers of parental educational engagement and hope. Whether through savings or structured asset-building programs, assets for children nurture parental expectations, reduce stress, and promote behaviors that foster children’s academic success.
Asset-building policies promoting asset accumulation for children play a significant role in strengthening parental engagement in children’s education and in raising parental expectations for children’s academic attainment [
23]. These policies have been shown to increase the likelihood that children will enroll in and complete college [
24], improve school enrollment rates and academic performance, have positive effects on long-term educational achievement [
25], are more likely to pursue higher education, and tend to score higher on standardized tests and exhibit fewer behavioral problems [
26]. Especially among low-income families, asset-building policies offer a promising avenue to boost educational outcomes via family engagement.
1.4. The Present Study: Objective and Research Question
While the distinct bodies of the literature on parental engagement, children’s hope, and asset-building policies are robust, the linkages between them remain empirically underdeveloped. Specifically, there is a lack of rigorous, experimental evidence demonstrating whether a universal asset-building policy can directly foster these crucial psychosocial resources. The primary objective of this study is, therefore, to determine the effect of a universal asset-building policy on parental educational engagement and children’s hope. Specifically, our research seeks to answer the following question: To what extent do CDAs influence parental engagement and children’s hope within a diverse statewide population?
To address this question, the remainder of this paper is structured as follows. We first provide background on CDAs, the SEED OK policy experiment, and its theoretical underpinnings. We then detail our research methods, including the longitudinal data, sample characteristics, and measures for parental engagement and children’s hope. Subsequently, we present the results from our multivariate regression and path analyses. The paper concludes with a discussion of the findings’ implications for asset-building policy and theory, an acknowledgment of study limitations, and suggestions for future research.
3. Research Methods
3.1. Data and Sample
In 2007, the primary caregivers of 2704 children were selected at random from a probability sample of the 2007 newborns in OK to participate in the SEED OK experiment. The vast majority, over 99%, of these caregivers were mothers. Following the completion of a baseline survey conducted between fall 2007 and spring 2008, these caregivers (henceforth referred to as “SEED OK mothers” or simply “mothers”) were then randomly divided into a treatment group (n = 1358) and a control group (n = 1346) [
40]. Approximately 84% (n = 2259) of these mothers successfully completed the Wave 2 survey during the spring of 2011, with 1149 in the treatment group and 1110 in the control group. Furthermore, comprehensive in-depth interviews of 60 participants conducted between mid-2009 and late 2010 provided valuable insights into the experiences and perspectives of SEED OK mothers regarding OK 529 [
39].
Data collection for the Wave 3 survey was conducted between January and July 2020 [
34], with approximately 67% of the mothers completing it by July 2020 (n = 1799; 921 in the treatment group and 878 in the control group). The outbreak of the COVID-19 pandemic brought about significant alterations in the daily routines, activities, and arrangements for all participants involved in the experiment. Notably, the closure of schools led to changes in parent–child interactions, particularly concerning educational activities. These changes, stemming from the pandemic, had a profound impact on schooling and home dynamics, ultimately affecting SEED OK children and their families, which in turn, may have influenced CDA outcomes. For instance, families coping with the stresses of pandemic life may have allocated less or no attention to their CDAs.
The onset of the pandemic necessitated several adjustments in the collection of survey data, including the closure of the survey call center, the suspension of in-person field visits, and the subsequent introduction and implementation of an online survey. These changes in the daily lives of SEED OK participants, alongside alterations in research methodologies, potentially influenced the impacts of CDAs and the accuracy of responses to surveys conducted after the pandemic began.
Consequently, we present findings from analyses utilizing both the full sample (n = 1425) and the pre-COVID-19 sample (n = 570). Data from the pre-COVID-19 sample were collected before the onset of the COVID-19 pandemic and the subsequent changes in research methodologies (this study utilizes 1 April 2020, as the demarcation date). The decision to present separate results is supported by three primary factors: firstly, the statewide closure of public schools in late March 2020 directly impacted the daily routines of families with children; secondly, the transition from telephone interviews to online surveys by the research team from this date; and thirdly, a sufficiently substantial sample size before COVID-19 facilitated statistical inference with adequate power.
3.2. Measures
Dependent Variable: Parent–Child Educational Engagement
In Wave 3 of our study, we assessed parent–child engagement in education by surveying respondents about the frequency of their communication with their children regarding school matters, academic progress, and future goals. Nine survey questions addressed these topics, such as how often adults inquire about upcoming assessments and how often children initiate conversations about postsecondary education. Details of these questions and their response options are provided in
Table 1. The internal consistency of these items was considered acceptable (Cronbach’s Alpha = 0.76; [
41]). To represent the overall level of engagement, we calculated a composite score by summing the responses to these nine questions (ranging from 8 to 35), with higher scores reflecting more frequent conversations.
3.3. Dependent Variable: Children’s Hope
A three-item scale developed by Child Trends assessed children’s hope. It asked respondents about children’s broad expectations of their future. This brief scale measured children’s expectation of positive experiences (expect good things to happen to them), excitement about the future (feel excited about what the future holds), and trust in a positive future (believe their future will be good). The scale demonstrates acceptable internal consistency (0.77) and produces a composite score ranging from 3 to 15, with higher scores indicating greater hope.
3.4. Independent Variables
The primary independent variable under investigation is participation in the SEED OK CDA intervention. Participants were assigned a code based on their group: one for the treatment group and zero for the control group. To account for potential influences on the outcome, we included various characteristics measured at the beginning of the study (Wave 1) for the child, mother, and household. Child: we controlled for age (in years), sex (male = 1, female = 0), and race/ethnicity (categorical variables representing different groups). Mother: we accounted for the mother’s age (in years), education level (categorical variables representing different levels), employment status (employed = 1, unemployed = 0), marital status (married = 1, other = 0), and self-reported health (ranging from 1 = poor to 5 = excellent). Household: we further controlled for homeownership (owned = 1, rented = 0), participation in government assistance programs (yes = 1, no = 0), primary language spoken at home (English = 1, other = 0), and geographic location (categorical variables representing different areas). Additionally, we included household size (number of residents) and income-to-needs ratio (calculated based on reported income and poverty guidelines). Further control variables included the mother’s reported parenting attitude (higher score = more positive) and saving habits (monthly saver = 1, nonsaver = 0).
3.5. Statistical Analyses
The primary goal of our analysis is to estimate the causal impact of the CDA intervention on parent–child educational engagement and children’s hope. Given that this study employs a rigorous, longitudinal randomized controlled trial (RCT) design—the gold standard for causal inference—our primary analytical strategy is multivariate linear regression [
42]. This approach allows for a direct and powerful estimation of the average treatment effect. While other methods like propensity score matching are valuable for quasi-experimental designs, they are not necessary here [
43], as the SEED OK experiment ensures comparability between groups through its robust randomization process, as demonstrated by the balance of baseline characteristics (see
Table 2).
Our analyses employed multivariate linear regressions and path analysis [
44,
45] to evaluate the impacts of CDAs on both parent–child educational engagement and children’s hope. While randomization minimizes systematic baseline differences, we included a comprehensive set of control variables for child, mother, and household characteristics in our regression models [
43]. This is a standard practice in RCT analysis to increase statistical power and control for any chance imbalances that may arise from sampling variation, thereby producing more precise estimates of the treatment effect. To ensure the stability and interpretability of our models, we conducted diagnostic tests for multicollinearity. Variance Inflation Factors (VIFs) for all predictors were well below the common threshold of 10, indicating that multicollinearity was not a concern in our models [
46]. In the path analysis, we specifically examine whether the impacts of CDAs on children’s hope are mediated through parent–child educational engagement. All other standard assumptions for multiple linear regression (e.g., linearity, normality of residuals) were also checked and met.
Following the exclusion of observations with missing data, we conducted the aforementioned analyses on two distinct samples. Pre-COVID-19 Sample (n = 570): This analysis focused solely on the data collected before the significant impact of the COVID-19 pandemic on educational systems. Full Sample (n = 1425): This analysis included data from both pre- and post-pandemic periods, providing a broader picture of potential effects.
Given the existence of a pre-determined, theory-driven hypothesis regarding specific expected effects, we utilized one-sided
p-values to assess statistical significance for the estimated impacts on both educational expectations and college preparation [
47]. With this approach, we established a significance level of 0.10 for the one-tailed tests [
48]. This approach is further supported by two key factors. Previous SEED OK research has consistently demonstrated positive educational impacts of CDAs on parents’ educational expectations, parenting practices, and college preparation [
39]. This existing evidence strengthens our a priori hypothesis of positive effects, making one-sided tests appropriate. In addition, when utilizing the pre-COVID-19 sample (N = 570), the relatively small sample size reduces statistical power. Employing one-sided tests allows for a more sensitive detection of the hypothesized positive effects, given this limitation. All analyses were weighted to ensure their representativeness of the complete Oklahoma birth population across two specific 3-month periods within 2007: April–June and August–October [
40].
We apply Confirmatory Factor Analysis (CFA) and Structural Equations Modeling (SEM) in supplemental analyses [
49] to create alternative latent measures of our dependent variables and to examine the CDA impacts on parent–child educational engagement and children’s hope. The latent measures of parent–child educational engagement and children’s hope include all survey items listed in
Table 1. The results of supplementary analyses are consistent with those generated from the main analyses proposed above and can be requested from the authors.
4. Research Results
4.1. Sample Description
Table 2 describes the characteristics of SEED OK children, mothers, and households by treatment and control status, for the pre-COVID-19 sample (n = 570). We found no significant differences between treatment and control groups, except for the treatment mothers’ higher likelihood of using English as their primary language and residing in metropolitan areas. Similar descriptive results (not reported) hold for the full sample (n = 1425). This suggests that, after 13 years, the randomization at Wave 1 still balances the treatment and control groups.
4.2. Bivariate Results: The Impact of CDAs on Parent–Child Engagement and Children’s Hope
Table 3 reports descriptive statistics of survey items for two dependent variables: parent–child educational engagement and children’s hope. In the pre-COVID-19 sample, the treatment group shows a consistent pattern of better outcomes across various survey items of two outcome measures compared to the control group. Specifically, in parent–child educational engagement, the treatment group demonstrates higher scores in study skills (2.82 vs. 2.76), grade checking online (2.78 vs. 2.70), homework completion (4.42 vs. 4.32), report card discussion (0.96 vs. 0.94), discussing jobs or careers with the child (3.02 vs. 2.89), and children’s initiated discussions on postsecondary education (2.66 vs. 2.59) and jobs (3.02 vs. 2.89). The treatment group has a total score of 25.80 with a standard deviation of 4.66, while the control group has a slightly lower total score of 25.30 with a standard deviation of 4.78. However, the treatment–control difference is only statistically significant on the measure of children’s-initiated discussion on jobs, as indicated by the bivariate one-tailed tests with a significance level of 0.10.
Regarding children’s hope, the treatment group in the pre-COVID-19 sample also exhibited higher levels of hope compared to the control group, with higher scores in expecting good things to happen (3.89 vs. 3.82), feeling excited about the future (4.14 vs. 4.00), and trusting the future will turn out well (4.22 vs. 4.11). The treatment–control differences in feeling excited about the future and trusting the future will turn out well are statistically significant (p < 0.10). The treatment group has a significantly higher total hope score of 12.24 with a standard deviation of 2.09, compared to the control group with a score of 11.94 and a standard deviation of 2.03.
In the full sample, although the two groups generally show similar results across most measures, the treatment group still maintains slightly better scores in some aspects, such as grade checking online (2.73 vs. 2.70), homework completion (4.31 vs. 4.27), discussing postsecondary education with the child (2.94 vs. 2.91), children’s initiated discussion on jobs (2.74 vs. 2.70), and feeling excited about the future (4.14 vs. 4.07), albeit without statistical significance. Overall, the findings suggest that CDAs positively influence parent–child educational engagement and children’s hope, with some improvements in pre-COVID-19 conditions across various dimensions of engagement and hope.
4.3. Multivariate Results: CDAs, Parental Educational Expectations, and Children’s Hope
Table 4 presents regression and path analysis results examining the impacts of CDAs on parent–child educational engagement and children’s hope for both the pre-COVID-19 sample and the full sample. The dependent variable is the total score of parent–child educational engagement for Model 1, and the total score of children’s hope for Model 2 and Model 3.
For the pre-COVID-19 sample, in Model 1, the treatment status variable shows a significant positive coefficient of 0.64 (p < 0.10), indicating that, compared to the control group, receiving the CDA intervention at birth is associated with higher levels of parent–child educational engagement in adolescence. This suggests that CDAs have a positive impact on enhancing parent–child educational engagement.
Transitioning to Models 2 and 3, which examine the relationship between CDAs and children’s hope, the coefficients of the treatment status remain significant. In Model 2, the coefficient for the treatment status is 0.28 (p < 0.10), indicating a positive impact of CDAs on children’s hope. In Model 3, which includes the treatment status variable alongside parent–child educational engagement, the coefficient for the treatment status reduces to 0.06 (p < 0.10), and the coefficient for parent–child educational engagement is significant, 0.30 (p < 0.001). These findings underscore the significant role of CDAs in shaping children’s hope, even when accounting for parent–child educational engagement. In the full sample, however, the treatment status variable is not statistically significant in all three models.
Overall, the results suggest that the treatment intervention positively influences parent–child educational engagement, which in turn may contribute to higher levels of children’s hopefulness.
5. Discussion
This study explores the psychosocial impacts of CDAs, using Wave 3 data from the SEED OK experiment. We investigate whether owning a tangible stake in their future fosters greater hope and encourages stronger parent–child educational engagement among adolescents. Analyzing data from the third wave of surveys in a longitudinal, randomized policy experiment with a statewide probability sample, the study reveals that accumulating assets through CDAs enhances parent–child educational engagement and fosters children’s hope for future development, as demonstrated by the pre-COVID-19 sample. Interpreted through the theoretical framework outlined earlier, these results offer experimental support for the mechanisms proposed by asset-effects theory [
35]. Specifically, our findings suggest that by providing a tangible stake in the future, the CDA intervention reduces family stress and encourages parental investment in ways that positively alter both parental behaviors and children’s psychological outlooks, consistent with family stress and investment models [
36]. Moreover, our findings extend the large body of correlational research on parental engagement [
5,
9] by providing causal evidence that a structural, asset-based intervention can be an effective lever for enhancing these crucial family processes. These findings also align with earlier SEED OK research on parental educational practices, parenting styles, children’s social-emotional development, and behavioral issues [
39]. However, these novel findings provide empirical evidence of CDA effects on two new outcome measures: parent–child educational engagement and children’s hope during adolescence. Alongside impacts on other aspects of child development, the positive effects of CDAs on these new outcomes during adolescence support the asset-effect theory regarding nonfinancial impacts of asset accumulation for children, suggesting that such effects may persist from early childhood into adolescence.
In the multivariate analysis (
Table 4), we observe that the sum score of parent–child educational engagement for treatment adolescents in the pre-COVID-19 sample was approximately 7% of a standard deviation (0.64) higher than that for counterparts in the control group. Similarly, the sum score of children’s hope for the treatment adolescents in the pre-COVID-19 sample was also about 7% of a standard deviation (0.28) higher than that for their counterparts in the control group. These findings indicate that parent–child educational engagement was more prevalent among the treatment adolescents, and they also held more positive expectations for their future. The regression coefficient of treatment status (0.07,
p < 0.10) regarding the sum score of children’s hope was comparable to those of children’s gender (−0.09,
p < 0.10) and household income-to-needs ratio (0.06,
p < 0.11), emphasizing the noteworthy effect size of CDAs on these outcomes.
Moreover, the estimated size of the CDA’s effect on nonfinancial outcomes at ages 4 and 14, including parental educational expectations, parenting practices, children’s socioemotional development, and behavior problems, ranged from 8% to 16% of a standard deviation [
39]. The positive effects on these nonfinancial outcomes found in both Wave 2 and Wave 3 suggest that the influences of this low-touch CDA policy on children and families were sustained, even though the funds in the treatment children’s CDAs had not yet been spent on postsecondary education.
Over the past decade, SEED OK has facilitated systematic research on the CDA policy model and its impacts on families and children [
23]. This body of research has demonstrated that CDAs can have positive impacts on financial outcomes such as account holding and asset accumulation [
32]. Additionally, SEED OK research has indicated that CDAs can help parents maintain high expectations for their children’s education [
23], reduce the intensity of maternal depressive symptoms [
39], decrease the use of punitive parenting practices, and improve children’s early social-emotional development [
39].
The current study’s findings contribute to this growing body of research by demonstrating that CDAs can also have positive, long-term effects on parent–child educational engagement and children’s hope. These two effects should not be considered in isolation but rather as part of a larger set of findings on asset building’s long-term effects on children’s health, well-being, and development. The body of findings from SEED OK is consistent with the hypotheses of asset-effects theory [
35]: that lifelong asset building can have long-term psychosocial and health benefits for families and children.
5.1. Implications for Policy and Research
These results have important implications for future research and policy aimed at promoting asset building for children’s health and well-being. Such understanding may contribute to the design and implementation of future CDAs in the United States and other countries. We note that the positive effects of CDAs on adolescent behavior problems stem from a specific form of universal and progressive CDA design, but effects may vary with differences in design. Findings on specific CDA effects on types of parent–child educational engagement could inform policy design improvements. If CDAs have stronger impacts on children’s future orientation and career preparation, some financial incentives in CDAs might be tied to specific children’s behaviors. Integrating career development services into asset-building policies could maximize CDA impacts on child development.
While the SEED OK experiment provides robust evidence within the U.S. context, it is crucial to consider that the policy’s effects may differ across cultural settings, limiting its external validity. The mechanisms through which CDAs influence family dynamics—such as fostering parental engagement and future hope—are deeply tied to cultural norms. For example, in more collectivist societies, the concept of individual asset-building may interact with family responsibilities and community expectations differently than in more individualistic cultures. The global expansion of CDA policies into countries such as Canada, Israel, Korea, Singapore, Uganda, and Kazakhstan [
28] offers a valuable opportunity for future comparative research. Studying these implementations can help identify key cultural factors that mediate or moderate CDA impacts, paving the way for more culturally adaptable and effective policy models worldwide. Informed by the SEED OK policy design, seven states in the United States (California, Illinois, Maine, Nebraska, Nevada, Pennsylvania, and Rhode Island) have adopted statewide, automatic, universal CDA policies through legislation or administrative rule. These policies are very much in the development stage. The current study’s findings suggest that such statewide CDA policies may effectively promote positive parent–child interaction and enhance children’s future orientation for all children. Further research is needed to systematically examine the potential of universal CDA policy as a comprehensive system for adolescent development, including research on other aspects of child development not examined in the current study.
In summary, the findings carry broad implications across several domains. Theoretically, they provide additional evidence for asset-effects theory. Educationally, they demonstrate that a financial policy can directly influence family engagement processes crucial for learning. Socially, they suggest a structural approach to fostering hope and reducing psychosocial disparities. Finally, from a political standpoint, they underscore the potential of universal, asset-based policies to serve as an effective and potentially bipartisan platform for family and child support.
5.2. Limitations
Although SEED OK is exceptional as a randomized and long-running experiment with a statewide probability sample, the study’s findings should be considered in light of two key limitations. First, sample attrition, since the study’s inception reduced the participant pool by approximately 37%. While statistical reweighting was used to ensure the treatment and control groups remained comparable, this loss may limit the generalizability of our results.
Second, the Wave 3 data collection was disrupted by the COVID-19 pandemic, potentially affecting results for the full sample. These results indicated statistically nonsignificant impacts of CDAs on two examined outcomes. Therefore, our analyses focused on the results of the pre-COVID-19 sample. A similar strategy has been applied in other research [
50]; however, the extent of the pandemic’s effects remains unclear. While our primary analysis focuses on the pre-COVID-19 sample for these reasons, it is important to consider the theoretical and policy implications of these nonsignificant findings. Beyond the methodological disruption, it is plausible that during a period of acute crisis, families’ attention shifted to immediate health and economic survival, potentially diminishing the perceived relevance of a long-term savings policy. Furthermore, because CDA funds are restricted for future use and cannot be accessed to mitigate immediate financial hardship, their psychological effect may have been muted for families experiencing acute pandemic-related stress. This context suggests that the nonsignificant effects in the full sample may reflect a temporary shift in family priorities during an unprecedented crisis, rather than a negation of the policy’s underlying impact in more stable conditions. Despite this, the consistently positive impacts of CDAs on nonfinancial outcomes, observed at Wave 2 and in the pre-COVID-19 sample, support the asset-effect hypotheses.
5.3. Conclusions
In summary, this study provides novel longitudinal evidence that CDAs positively impact parent–child educational engagement and adolescent hope. As millions of children worldwide gain access to these accounts [
12,
27], our findings underscore the policy’s role in not just building financial assets [
34], but in shaping the psychological foundations for future success. This research supports a broader vision where asset-building for all children is a core strategy for fostering aspiration, strengthening families, and promoting equitable human development.
To leverage these findings and advance the CDA policy globally, several concrete actions can be taken. First, a global learning network for policymakers, researchers, and practitioners can be established to share best practices on CDA design, implementation, cultural adaptation, and scalable administrative platforms. Second, policymakers should formally integrate CDAs with existing social welfare policies and broader national strategies, such as financial inclusion and the UN Sustainable Development Goals, to position them as core tools for human capital building, poverty reduction, and equity. Finally, a standardized set of core evaluation metrics should be developed for cross-national comparison, capturing not only financial accumulation but also key psychosocial outcomes like hope and family engagement to build a robust global evidence base.
Overall, our study has yielded promising results, revealing the positive effects of CDAs on adolescents’ educational, social, and psychological well-being. These findings underscore the potential of CDAs as a policy tool not only for enhancing financial well-being but also for promoting positive human development among adolescents. In the larger picture, this evidence supports the broader significance of asset-building policies in nurturing resilient and healthy individuals, with very practical implications for enhancing the well-being of youth.