Skip to main content
Log in

Program Knowledge and Racial Disparities in Savings Outcomes in a Child Development Account Experiment

  • Original Paper
  • Published:
Journal of Family and Economic Issues Aims and scope Submit manuscript

Abstract

This study investigated whether participants’ program knowledge was associated with savings outcomes in Child Development Accounts and whether differences in program knowledge explained racial and ethnic disparities in savings outcomes. We used data collected from White, Black, American Indian, and Hispanic treatment participants in the SEED for Oklahoma Kids (SEED OK) experiment (N = 1126). Analysis results indicated that knowledge of SEED OK program features was low, especially among members of minority groups. Logit and Tobit regressions showed that program knowledge was positively related to the likelihood of holding a SEED OK account and to individual savings amounts. Gaps in program knowledge were associated with racial disparities in savings outcomes. If Whites and minorities had the same levels of program knowledge, gaps in savings outcomes would have significantly narrowed. The findings call for the development of policy designs and communication tools to enhance knowledge of program features among households with Child Development Accounts, especially racial- and ethnic-minority households.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Notes

  1. Nam et al. (2013) estimated SEED OK’s participation rate as of June 2009, but the current study assessed its participation rate in December 2011.

  2. Financial knowledge is not a perfect indicator of one’s level of understanding of savings programs. In understanding program features and incentives, financially knowledgeable individuals probably have an easier time than those with limited financial knowledge, but empirical evidence has shown that correlations between general financial knowledge and the level of savings program knowledge are far from perfect. For example, analyses of SEED OK data used in this study demonstrated that the coefficient of the correlation between financial knowledge and SEED OK program knowledge was only .19. Eighteen percent of those with the lowest level of financial knowledge were aware of all three features of SEED OK, but 28% of those with the highest level of financial knowledge were not aware of any SEED OK feature.

  3. Qualified expenses include tuition, fees, room and board costs, and materials and equipment needed to pursue postsecondary education in eligible educational institutions, which include colleges, universities, and vocational schools.

  4. Dollar values used in this article are in US currency.

  5. Participants who indicated that Spanish was their primary language have received information in that language.

  6. The main model of this study included the variables for household size and the number of children in addition to that for the study participant’s marital status. Although household size was highly correlated with marital status and the number of children, we controlled for marital status because it reflected the number of adults in the household. The average number of adults differed by race and ethnicity even when marital status was considered. For example, there were, on average, 2.09 adults in the households of married White participants, 2.06 in the households of unmarried White participants, 1.96 in the households of married Black participants, and 1.56 in the households of unmarried Black participants. We also ran supplemental analyses without the household-size variable. Results from these analyses were not substantively different than those from the main model.

  7. For example, experiences during Stage 1 may have made survey recruiters more successful in contacting selected caregivers and convincing them to participate at Stage 2; study participants recruited at Stage 1 had more time (4 months) to open and save in OK 529 accounts because they were notified of their treatment status a few months earlier than those recruited at Stage 2.

  8. Caution is warranted in interpretation of the findings on Blacks and Hispanics because results from Model 2 were somewhat weak. In comparison with that in Model 1, the size of the Model 2 coefficient for account holding by Hispanics was smaller, and the difference was significant at the .10 level but not at the .05 level. In the regression of savings amount, the Black and Hispanic coefficient sizes from Model 1 did not differ significantly from those in Model 2. Only Model 3 generated results sufficiently robust to support the hypothesis that racial gaps in program knowledge explain disparities in savings outcomes. The size of coefficients for both of the measured savings outcomes of Blacks and Hispanics differed significantly (at the .05 level) from the corresponding coefficients in Model 1.

  9. It should be recognized that saving for children’s future is not always desirable for some families, especially low-income families. Saving in the context of budget constraints may have harmful impacts on families and children if economic resources are diverted from basic needs (e.g., purchasing food and paying bills).

  10. One potential explanation for this lack of awareness was the timing of the SEED OK intervention. It started shortly after a new baby arrived in the household of each member of the target population; new parents often lack time and economic resources. Recent studies indicated that people with scarce resources tend to focus on short-term survival and that scarcity limits their cognitive ability to obtain new information or make prudent decisions for long-term success (Shah et al. 2012; Mani et al. 2013). Another possible explanation for participants’ ignorance of program features was the lack of financial knowledge among the target population. Only 14% of new mothers gave correct answers to all three basic financial-knowledge questions (Huang et al. 2013). Without such basic knowledge, mothers may have had a hard time grasping how SEED OK worked. Furthermore, the experimental nature of SEED OK prevented the widespread use of some communication tools (e.g., media campaigns and promotion by community leaders) that might have compromised the experiment’s validity by exposing control participants to treatment components. These hypotheses have not been empirically tested, and further investigation should undertake such tests.

References

  • Agnew, J. R., Szykman, L. R., Utkus, S. P., & Young, J. A. (2012). Trust, plan knowledge and 401(k) savings behavior. Journal of Pension Economics and Finance, 11, 1–20. doi:10.1017/S1474747211000230.

    Article  Google Scholar 

  • Ball-Rokeach, S. J., Kim, Y.-C., & Matei, S. (2001). Storytelling neighborhood - Paths to belonging in diverse urban environments. Communication Research, 28(4), 392–428. doi:10.1177/009365001028004003.

    Article  Google Scholar 

  • Baum, S., Ma, J., & Payea, K. (2010). Education pays 2010: The benefits of higher education for individuals and society (Trends in Higher Education Series Report). Retrieved from College Board website: https://trends.collegeboard.org/sites/default/files/education-pays-2010-full-report.pdf.

  • Bernheim, B. D., & Garrett, D. M. (2003). The effects of financial education in the workplace: Evidence from a survey of households. Journal of Public Economics, 87, 1487–1519. doi:10.1016/S0047-2727(01)00184-0.

    Article  Google Scholar 

  • Beverly, S. G., Sherraden, M., Cramer, R., Williams Shanks, T. R., Nam, Y., & Zhan, M. (2008). Determinants of asset holdings. In S.-M. McKernan & M. Sherraden (Eds.), Asset building and low-income families (pp. 89–151). Washington, DC: Urban Institute Press.

    Google Scholar 

  • Bonevski, B., Randell, M., Paul, C., Chapman, K., Twyman, L., Bryant, J., Brozek, I., & Hughes, C. (2014). Reaching the hard-to-reach: A systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Medical Research Methodology, 14, 42. doi:10.1186/1471-2288-14-42.

    Article  Google Scholar 

  • Bucks, B. K., Kennickell, A. B., Mach, T. L., & Moore, K. B. (2009). Changes in U.S. family finances from 2004 to 2007: Evidence from the survey of consumer finances. Federal Reserve Bulletin, 95, A1–A56.

    Google Scholar 

  • Bureau of Labor Statistics. (2009). Defined-contribution plans more common than defined-benefit plans (Program Perspectives on Retirement Benefits No. 3). Retrieved from http://www.bls.gov/opub/btn/archive/program-perspectives-on-retirement-benefits-pdf.pdf.

  • Choi, J. J., Laibson, D., & Madrian, B. C. (2004). Plan design and 401(k) savings outcomes. National Tax Journal, 57, 275–298.

    Article  Google Scholar 

  • Choi, J. J., Laibson, D., & Madrian, B. C. (2005). Are empowerment and education enough? Underdiversification in 401(k) plans. Brookings Papers on Economic Activity, 2, 151–213. doi:10.1353/eca.2006.0002.

    Article  Google Scholar 

  • Choi, J. J., Laibson, D., & Madrian, B. C. (2011). $100 bills on the sidewalk: Suboptimal investment in 401(k) plans. Review of Economics and Statistics, 93, 748–763. doi:10.1162/REST_a_00100.

    Article  Google Scholar 

  • Clancy, M., & Lassar, T. (2010). College savings plan accounts at birth: Maines statewide program (CSD Policy Brief No. 10–16). Retrieved from Washington University, Center for Social Development website http://csd.wustl.edu/publications/documents/pb10-16.pdf

  • Clark, R. L., Morrill, M. S., & Allen, S. G. (2012). Effectiveness of employer-provided financial information: Hiring to retiring. American Economic Review, 102, 314–318. doi:10.1257/aer.102.3.314.

    Article  Google Scholar 

  • Clayman, M. L., Manganello, J. A., Viswanath, K., Hesse, B. W., & Arora, N. K. (2010). Providing health messages to Hispanics/Latinos: Understanding the importance of language, trust in health information sources, and media use. Journal of Health Communication, 15(Suppl. 3), 252–263. doi:10.1080/10810730.2010.522697.

    Article  Google Scholar 

  • Conley, D. (2001). Capital for college: Parental assets and postsecondary schooling. Sociology of Education, 74, 59–72. doi:10.2307/2673145.

    Article  Google Scholar 

  • Cramer, R., & Newville, D. (2009). Children’s Savings Accounts: The case for creating a lifelong savings platform at birth as a foundation for a “save-and-invest” economy (Asset Building Program Paper). Washington, DC: New America Foundation.

    Google Scholar 

  • Curtin, R. T., Presser, S., & Singer, E. (2005). Changes in telephone survey nonresponse over the past quarter century. Public Opinion Quarterly, 69, 87–98. doi:10.1093/poq/nfi002.

    Article  Google Scholar 

  • Duflo, E., Gale, W., Liebman, J., Orszag, P., & Saez, E. (2006). Saving incentives for low- and middle-income families: Evidence from a field experiment with H&R Block. Quarterly Journal of Economics, 121, 1311–1346. doi:10.1093/qje/121.4.1311.

    Article  Google Scholar 

  • Duflo, E., & Saez, E. (2003). The role of information and social interactions in retirement plan decisions: Evidence from a randomized experiment. Quarterly Journal of Economics, 118, 815–842. doi:10.1162/00335530360698432.

    Article  Google Scholar 

  • Elliott, W., Destin, M. III, & Friedline, T. (2011). Taking stock of ten years of research on the relationship between assets and children’s educational outcomes: Implications for theory, policy and intervention. Children and Youth Services Review, 33, 2312–2328. doi:10.1016/j.childyouth.2011.08.001.

    Article  Google Scholar 

  • Engelhardt, G. V., & Kumar, A. (2007). Employer matching and 401(k) saving: Evidence from the Health and Retirement Study. Journal of Public Economics, 91, 1920–1943. doi:10.1016/j.jpubeco.2007.02.009.

    Article  Google Scholar 

  • FinAid. (n.d.). Tuition inflation. Retrieved June 16, 2014, from http://www.finaid.org/savings/tuition-inflation.phtml.

  • Government Accountability Office. (2012). Higher education: A small percentage of families save in 529 plans (Report No. GAO-13-64). Retrieved from http://www.gao.gov/products/GAO-13-64.

  • Gray, K., Clancy, M., Sherraden, M. S., Wagner, K., & Miller-Cribbs, J. (2012). Interviews with mothers of young children in the SEED for Oklahoma Kids college savings experiment (CSD Research Report No. 12–53). Retrieved from Washington University, Center for Social Development website http://csd.wustl.edu/publications/documents/rp12-53.pdf.

  • Greene, W. H. (2003). Econometric analysis (5th edn.). Upper Saddle River: Prentice Hall.

    Google Scholar 

  • Groves, R. M. (2006). Nonresponse rates and nonresponse bias in household surveys. Public Opinion Quarterly, 70, 646–675. doi:10.1093/poq/nfl033.

    Article  Google Scholar 

  • Hastings, J. S., Madrian, B. C., & Skimmyhorn, W. L. (2013). Financial literacy, financial education, and economic outcomes. Annual Review of Economics, 5, 347–373. doi:10.1146/annurev-economics-082312-125807.

    Article  Google Scholar 

  • Huang, J., Nam, Y., & Sherraden, M. S. (2013). Financial knowledge and child development account policy: A test of financial capability. Journal of Consumer Affairs, 47, 1–26. doi:10.1111/joca.12000.

    Article  Google Scholar 

  • Huang, J., Sherraden, M., & Purnell, J. Q. (2014). Impacts of child development accounts on maternal depressive symptoms: Evidence from a randomized statewide policy experiment. Social Science & Medicine, 112, 30–38. doi:10.1016/j.socscimed.2014.04.023.

    Article  Google Scholar 

  • Keeter, S., Kennedy, C., Dimock, M., Best, J., & Craighill, P. (2006). Gauging the impact of growing nonresponse on estimates from a national RDD telephone survey. Public Opinion Quarterly, 70, 759–779. doi:10.1093/poq/nfl035.

    Article  Google Scholar 

  • Kim, Y., Sherraden, M., Huang, J., & Clancy, M. (2015). Child development accounts and parental educational expectations for young children: Early evidence from a statewide social experiment. Social Service Review, 89, 99–137. doi:10.1086/680014.

    Article  Google Scholar 

  • Madrian, B. C. (2014). Applying insights from behavioral economics to policy design. Annual Review of Economics, 6, 663–688. doi:10.1146/annurev-economics-080213-041033.

    Article  Google Scholar 

  • Madrian, B. C., & Shea, D. F. (2001). The power of suggestion: Inertia in 401(k) participation and savings behavior. Quarterly Journal of Economics, 116, 1149–1187. doi:10.1162/003355301753265543.

    Article  Google Scholar 

  • Mani, A., Mullainathan, S., Shafir, E., & Zhao, J. (2013). Poverty impedes cognitive function. Science, 341, 976–980. doi:10.1126/science.1238041.

    Article  Google Scholar 

  • Marks, E. L., Rhodes, B. B., Engelhardt, G. V., Scheffler, S., & Wallace, I. F. (2009). Building assets: An impact evaluation of the MI SEED children’s savings program [Report]. Retrieved from RTI International website http://www.rti.org/pubs/mi_seed_report.pdf.

  • Marks, E. L., Rhodes, B. B., & Scheffler, S. (2008). SEED for Oklahoma Kids: Baseline analysis [Report]. Research Triangle Park, NC: RTI International.

    Google Scholar 

  • Mason, L. R., Nam, Y., Clancy, M., Kim, Y., & Loke, V. (2010). Child development accounts and saving for children’s future: Do financial incentives matter? Children and Youth Services Review, 32, 1570–1576. doi:10.1016/j.childyouth.2010.04.007.

    Article  Google Scholar 

  • Mason, L. R., Nam, Y., & Kim, Y. (2014). Validity of infant race/ethnicity from birth certificates in the context of U.S. demographic change. Health Services Research, 49, 249–267. doi:10.1111/1475-6773.12083.

    Article  Google Scholar 

  • McPherson, C. J., Higginson, I. J., & Hearn, J. (2001). Effective methods of giving information in cancer: A systematic literature review of randomized controlled trials. Journal of Public Health Medicine, 23, 227–234. doi:10.1093/pubmed/23.3.227.

    Article  Google Scholar 

  • Nam, Y., Kim, Y., Clancy, M., Zager, R., & Sherraden, M. (2013). Do child development accounts promote account holding, saving, and asset accumulation for children’s future? Evidence from a statewide randomized experiment. Journal of Policy Analysis and Management, 32, 6–33. doi:10.1002/pam.21652.

    Article  Google Scholar 

  • Nam, Y., Wikoff, N., & Sherraden, M. (2016). Economic intervention and parenting: A Randomized experiment of a statewide child development account program. Research on Social Work Practice, 26, 339–349. doi:10.1177/1049731514555511.

    Article  Google Scholar 

  • Nyce, S. A. (2005). The importance of financial communication for participation rates and contribution levels in 401(k) plans. Benefits Quarterly, 21, 22–39.

    Google Scholar 

  • Okech, D. (2011). Enrollment decisions in a child development accounts program for low-income families. Journal of Family and Economic Issues, 32, 400–410. doi:10.1007/s10834-010-9234-z.

    Article  Google Scholar 

  • Oklahoma 529 College Savings Plan. (n.d.). Frequently asked questions. Retrieved October 19, 2010, from http://www.ok4saving.org/faq/.

  • Pedersen, E. R., Neighbors, C., Tidwell, J., & Lostutter, T. W. (2011). Do undergraduate student research participants read psychological research consent forms? Examining memory effects, condition effects, and individual differences. Ethics and Behavior, 21, 332–350. doi:10.1080/10508422.2011.585601.

    Article  Google Scholar 

  • Puhani, P. (2000). The Heckman correction for sample selection and its critique. Journal of Economic Surveys, 14, 53–68. doi:10.1111/1467-6419.00104.

    Article  Google Scholar 

  • Schreiner, M. (2012). Meta-data for SEED for Oklahoma Kids: Two survey waves and OSCP administrative data through 2011Q4 [Report]. St. Louis, MO: Washington University, Center for Social Development.

    Google Scholar 

  • Schreiner, M., & Sherraden, M. (2007). Can the poor save? Saving and asset building in Individual Development Accounts. New Brunswick, NJ: Transaction.

    Google Scholar 

  • SEED for Oklahoma Kids. (2008a). Answers to frequently asked questions [Brochure]. Retrieved from state of Oklahoma website: https://www.ok.gov/treasurer/documents/SEEDOK-FAQ-2009.pdf.

  • SEED for Oklahoma Kids. (2008b). Lets get started [Informational booklet]. Retrieved from state of Oklahoma website: https://www.ok.gov/treasurer/documents/SEED-Get-Started+MEF.pdf.

  • SEED for Oklahoma Kids. (2008c). SEED for Oklahoma Kids savings match terms. Retrieved from state of Oklahoma website: https://www.ok.gov/treasurer/documents/SEED%20Savings%20Match%20Terms%202009.pdf.

  • Shah, A. K., Mullainathan, S., & Shafir, E. (2012). Some consequences of having too little. Science, 338, 682–685. doi:10.1126/science.1222426.

    Article  Google Scholar 

  • Shapiro, T. M. (2004). The hidden cost of being African-American: How wealth perpetuates inequality. New York: Oxford University Press.

    Google Scholar 

  • Sherraden, M. (1991). Assets and the poor: A new American welfare policy. Armonk, NY: M. E. Sharpe.

    Google Scholar 

  • Sherraden, M., Clancy, M., Nam, Y., Huang, J., Kim, Y., Beverly, S. G., … Purnell, J. Q. (2015). Universal accounts at birth: Building knowledge to inform policy. Journal of the Society for Social Work and Research, 6, 541–564. doi:10.1086/684139.

    Article  Google Scholar 

  • Skimmyhorn, W. L. (2012). Essays in behavioral household finance (Doctoral dissertation, Harvard University). Retrieved from http://dash.harvard.edu/bitstream/handle/1/9369052/Skimmyhorn_gsas.harvard_0084L_10233.pdf?sequence=1.

  • Stone, D. (2012). Policy paradox: The art of political decision making (3rd edn.). New York: W.W. Norton.

    Google Scholar 

  • Weintraub, E. R. (1993). Neoclassical economics. In D. R. Henderson (Ed.), The concise encyclopedia of economics. Retrieved from Library of Economics and Liberty website http://www.econlib.org/library/Enc1/NeoclassicalEconomics.html.

  • Winship, C., & Mare, R. D. (1992). Models for sample selection bias. Annual Review of Sociology, 18, 327–350. doi:10.1146/annurev.so.18.080192.001551.

    Article  Google Scholar 

Download references

Acknowledgements

Support for SEED for Oklahoma Kids comes from the Ford Foundation and the Charles Stewart Mott Foundation. We especially value our partnership with the state of Oklahoma: Ken Miller, State Treasurer; Scott Meacham, former State Treasurer; Tim Allen, Deputy Treasurer for Communications and Program Administration; and James Wilbanks, former Director of Revenue and Fiscal Policy. We appreciate the contributions of staff at RTI International. The Oklahoma 529 College Savings Plan Program Manager, TIAA-CREF, has also been a valuable partner. At the Center for Social Development, we are grateful to Mark Schreiner and Nora Wikoff for their assistance in managing the survey data and to Vernon Loke, Lisa Reyes Mason, and Donna-Mae Knights for assistance with data management and cleaning. The authors also thank Christopher Leiker for his wonderful editing assistance and staff on the SEED OK team over several years.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yunju Nam.

Ethics declarations

Conflict of interest

Support for SEED for Oklahoma Kids (SEED OK) comes from the Ford Foundation and the Charles Stewart Mott Foundation. The sponsors did not participate in the design or conduct of the study; in the collection, analysis, or interpretation of the data; or in the preparation, review, or approval of the manuscript. The authors declare that they have no conflict of interest.

Ethical Approval

The SEED OK experiment obtained institutional review board approval from Washington University in Saint Louis (IRB ID No. 201102246). All procedures involving human participants were performed in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study. No identifying information about participants is included in the article. The manuscript will not infringe upon any statutory copyright. This paper has not been published previously and is not under consideration elsewhere.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nam, Y., Hole, E., Sherraden, M. et al. Program Knowledge and Racial Disparities in Savings Outcomes in a Child Development Account Experiment. J Fam Econ Iss 39, 145–162 (2018). https://doi.org/10.1007/s10834-017-9544-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10834-017-9544-5

Keywords

Navigation