Abstract
This study explored relationships among young adults’ wealth and entrepreneurial activities with emphasis on how these relationships differed among racial and ethnic groups. Using data from the 1997 National Longitudinal Survey of Youth, results indicated that young adults’ (N = 8984) higher accumulated amounts of wealth were associated with pursuing self-employment at higher rates; however, differences emerged when the associations were explored with various types of wealth and within racial and ethnic groups. Black young adults’ greater debt and net worth were associated with their increased likelihoods of self-employment. Among Latino/a young adults, greater liquid assets and net worth were associated with increased likelihoods of self-employment. Wealth was unrelated to white young adults’ self-employment. Wealth appeared to play an outsized role in the self-employment of black and Latino/a young adults compared to that of their white counterparts. In other words, racial and ethnic minority young adults may have a heavier burden for generating their own capital to embark on entrepreneurial activities when mainstream credit markets are unresponsive or inaccessible. Policy implications are discussed.
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Notes
The authors of this paper focus on racial and ethnic groups including blacks, Latinos/as, and whites because the data source we used for the analysis did not have sufficient representation from other groups, including marginalized and oppressed racial and ethnic groups of color such as Native Americans, Southeast Asians, or Africans. However, the authors recognize and validate the likely similar experiences of other marginalized and oppressed racial and ethnic groups of color in the US.
The use of propensity score weighting did not permit us to simultaneously perform formal tests of interaction between young adults’ race and ethnicity and their wealth. At the same time, propensity score weighting also provided a unique way to consider these relationships. Balancing the combined sample across wealth categories could be interpreted as attempting to minimize any observed differences or selection bias that might have emerged by race and ethnicity and could have unduly influenced the associations between wealth and self-employment. In other words, the unbalanced results could allow for greater scrutiny regarding whether the relationships were being driven in large part by racial and ethnic wealth inequalities. However, part of our question was indeed related to an interaction between young adults’ race and ethnicity and wealth, asking whether there were within-group differences that might be masked by analyzing the relationships in a combined sample. We performed analyses in the combined sample without propensity score weighting in order to test for interactions between young adults’ race and ethnicity and their wealth in predicting self-employment. None of the interactions were significant at p < .05; however, there was a negative interaction that approached significance between race and ethnicity and liquid assets (β = −.074; SE = .039; p = .057). This relationship was consistent with the relationships that emerged within the samples of white, black, and Latino/a young adults between liquid assets and self-employment.
References
Audretsch, D. (2007). Entrepreneurship and economic growth. Oxford Review of Economic Policy, 23(1), 63–78. doi:10.1093/oxrep/grm001.
Baum, S., Ma, J., & Payea, K. (2013). Education pays 2013: The benefits of higher education for individuals and society. New York, NY: The College Board, Trends in Higher Education. Retrieved from https://trends.collegeboard.org/sites/default/files/education-pays-2013-full-report.pdf.
Bell, D. (2004). Silent covenants: Brown v. Board of Education and the unfulfilled hopes for racial reform. New York, NY: Oxford University Press.
Belman, D., & Heywood, J. (1990). Union membership, union organization and the dispersion of wages. Review of Economics and Statistics, 72, 148–153.
Blanchflower, D., Levine, P., & Zimmerman, D. (2003). Discrimination in the small-business credit market. The Review of Economics and Statistics, 85(4), 930–943. doi:10.1162/003465303772815835.
Boshara, R., Emmons, W., & Noeth, B. (2015). The demographics of wealth: How age, education, and race separate thrivers from strugglers in today’s economy. St. Louis, MO: The Federal Reserve Bank of St. Louis. Retrieved from https://www.stlouisfed.org/~/media/Files/PDFs/HFS/essays/HFS-Essay-1-2015-Race-Ethnicity-and-Wealth.pdf.
Bradford, W. (2003a). The savings and credit management of low-income, low-wealth black and white families. Economic Development Quarterly, 17(1), 53–74. doi:10.1177/0891242402239198.
Bradford, W. (2003b). The wealth dynamics for entrepreneurship for black and white families in the U.S. Review of Income and Wealth, 49(1), 89–116.
Bradford, W. (2014). The “myth” that black entrepreneurship can reduce the gap in wealth between black and white families. Economic Development Quarterly, 28(3), 254–269. doi:10.1177/0891242414535468.
Buera, F. J. (2009). A dynamic model of entrepreneurship with borrowing constraints: Theory and evidence. Annals of Finance, 5(3–4), 443–464.
Bureau of Labor Statistics. (2012). National Longitudinal Survey of Youth 1997 Cohort, 1997–2010 (Rounds 1–14). Columbus, OH: Center for Human Resource Research, The Ohio State University.
Bureau of Labor Statistics. (2015). Labor force statistics from the Current Population Survey. Washington, DC: United States Department of Labor, Bureau of Labor Statistics. Retrieved from http://www.bls.gov/web/empsit/cpsee_e16.htm.
Card, D., & DiNardo, J. (2002). Skill-based technological change and rising wage inequality: Some problems and puzzles. Journal of Labor Economics, 20, 733–783.
Casner-Lotto, J., & Barrington, L. (2006). Are they really ready to work? Okemos, MI: The Conference Board, Inc., the partnership for 21st century skills, corporate voices for working families, and the society for human resources management. Retrieved from http://www.p21.org/storage/documents/FINAL_REPORT_PDF09-29-06.pdf.
Chatterji, A., & Seamans, R. (2012). Entrepreneurial finance, credit cards, and race. Journal of Financial Economics, 106(1), 182–195. doi:10.1016/j.jfineco.2012.04.007.
Clifton, J. (2015). American entrepreneurship: Dead or alive? Washington, DC: GALLUP. Retrieved from http://www.gallup.com/businessjournal/180431/american-entrepreneurship-dead-alive.aspx.
Collins, C. (2013). The economic context: Growing disparities in income and wealth. New England Journal of Public Policy, 24(1), 49–61.
Cox, N. (2006). WINSOR: Stata module to Winsorize a variable. Chestnut Hill, MA: Boston College, Department of Economics. Retrieved from http://ideas.repec.org/c/boc/bocode/s361402.html#related.
D’Agostino, R. B., Jr. (1998). Tutorial in biostatistics: Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine, 17, 2265–2281. doi:10.1002/(SICI)1097-0258(19981015)17:19<2265:AID-SIM918>3.0.CO;2-B.
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood for incomplete data via the EM algorithm. Journal of the Royal Statistical Society: Series B (Methodological), 39(1), 1–38.
Dettling, L., & Hsu, J. (2014). The state of young adults’ balance sheets: Evidence from the Survey of Consumer Finances. The Federal Reserve Bank of St. Louis Review, 96(4), 305–330.
Elliott, W., & Lewis, M. (2015). The real college debt crisis: How student borrowing threatens financial well-being and erodes the American Dream. Santa Barbara, CA: ABC-CLIO LLC.
Evans, D. S., & Jovanovic, B. (1989). An estimated model of entrepreneurial choice under liquidity constraints. The Journal of Political Economy, 97(4), 808–827.
Ewing Marion Kauffman Foundation. (2014). The state of entrepreneurship address. Kansas City, MO: Ewing Marion Kauffman Foundation. Retrieved from http://www.kauffman.org/~/media/kauffman_org/research%20reports%20and%20covers/2014/02/state_of_entrepreneurship_address_2014.pdf.
Fairlie, R. W. (2004). Does business ownership provide a source of upward mobility for blacks and Hispanics? In D. Holtz-Eakin & H. Rosen (Eds.), Public policy and the economics of entrepreneurship (pp. 153–180). Cambridge, MA: Massachusetts Institute of Technology.
Fairlie, R. W. (2005). Entrepreneurship and earnings among young adults from disadvantaged families. Small Business Economics, 25(3), 223–236.
Fairlie, R. W. (2011). Entrepreneurship, economic conditions, and the Great Recession. Santa Cruz, CA: University of California, Department of Economics.
Fairlie, R. (2014). Kauffman index of entrepreneurial activity: 1996–2013. Kansas City, MO: Ewing Marion Kauffman Foundation. Retrieved from http://www.kauffman.org/~/media/kauffman_org/research%20reports%20and%20covers/2014/04/kiea_2014_report.pdf.
Fairlie, R. W., & Krashinsky, H. A. (2012). Liquidity constraints, household wealth, and entrepreneurship revisited. Review of Income and Wealth, 58(2), 279–306.
Feagan, J., & Imani, N. (1994). Racial barriers to African American entrepreneurship: An exploratory study. Social Problems, 41(4), 562–584.
Federal Deposit Insurance Corporation. (2014). 2013 FDIC national survey of unbanked and underbanked households. Washington, DC: FDIC. Retrieved from https://www.fdic.gov/householdsurvey/2013execsumm.pdf
Findlay, P., Kalleberg, A., & Warhurst, C. (2013). The challenge of job quality. Human Relations, 66(4), 441–451. doi:10.1177/0018726713481070.
Friedline, T., & Freeman, A. (2016). The potential for savings accounts to protect young adults from unsecured debt in periods of macroeconomic stability and decline. Social Service Review, 90(1).
Friedline, T., Johnson, P., & Hughes, R. (2014). Toward healthy balance sheets: Are savings accounts a gateway to young adults’ asset diversification and accumulation? Federal Reserve Bank of St. Louis Review, 96(4), 359–389.
Friedline, T., & Rauktis, M. (2014). Young people are the front lines of financial inclusion: A review of 45 years of research. Journal of Consumer Affairs, 48(3), 535–602. doi:10.1111/joca.12050.
Friedline, T., & Song, H. (2013). Accumulating assets, debts in young adulthood: Children as potential future investors. Children and Youth Services Review, 35(9), 1486–1502. doi:10.1016/j.childyouth.2013.05.013.
Fry, R. (2014). Young adults, student debt and economic well-being. Washington, DC: Pew Research Center. Retrieved from http://www.pewsocialtrends.org/2014/05/14/young-adults-student-debt-and-economic-well-being/
Goodman, M., Sands, A., & Coley, R. (2015). America’s skills challenge: Millennials and the future. Princeton, NJ: Educational Testing Service, Center for Research on Human Capital and Education. Retrieved from http://www.ets.org/s/research/30079/asc-millennials-and-the-future.pdf.
Guo, S., & Fraser, W. M. (2010). Propensity score analysis: Statistical methods and applications. Thousand Oaks, CA: Sage.
Hipple, S. (2010). Self-employment in the United States. Washington, DC: Bureau of Labor Statistics. Retrieved from http://www.bls.gov/opub/mlr/2010/09/art2full.pdf.
Holtz-Eakin, D., Rosen, H., & Weathers, R. (2000). Horatio Alger meets the mobility tables. Small Business Economics, 14(4), 243–274.
Houle, J. (2013). Disparities in debt: Parents’ socioeconomic resources and young adult student loan debt. Sociology of Education, Online First,. doi:10.1177/0038040713512213.
Houle, J., & Berger, L. (2014). Is student loan debt discouraging home buying among young adults? Hanover, NH: Dartmouth College. Retrieved from http://www.cfpbmonitor.com/files/2014/06/Is_Student_Loan_Debt_Discouraging_Home_Buying_Among_Young_Adults1.pdf.
Hurst, E., & Lusardi, A. (2004). Liquidity constraints, household wealth, and entrepreneurship. Journal of Political Economy, 112(2), 319–347.
Institute for Local Self-Reliance. (2014). Access to capital for local businesses. Washington, DC: Institute for Local Self-Reliance. Retrieved from http://ilsr.org/rule/financing-local-businesses/.
Kim, P. H., Aldrich, H. E., & Keister, L. A. (2006). Access (not) denied: The impact of financial, human, and cultural capital on entrepreneurial entry in the United States. Small Business Economics, 27(1), 5–22.
King, G., & Zeng, L. (2001). Logistic regression in rare events data. Political Analysis, 9, 137–163. Retrieved from http://gking.harvard.edu/gking/files/abs/0s-abs.shtml.
Köllinger, P., & Minniti, M. (2006). Not for lack of trying: American entrepreneurship in black and white. Small Business Economics, 27(1), 59–79. doi:10.1007/s11187-006-0019-6.
Krogstad, J. M. (2015). 114th Congress is most diverse ever. Washington, DC: Pew Research Center. Retrieved from http://www.pewresearch.org/fact-tank/2015/01/12/114th-congress-is-most-diverse-ever/.
Krogstad, J. M., & Fry, R. (2012). More Hispanics, blacks enrolling in college, but lag in bachelor’s degrees. Washington, DC: Pew Research Center. Retrieved from http://www.pewresearch.org/fact-tank/2014/04/24/more-hispanics-blacks-enrolling-in-college-but-lag-in-bachelors-degrees/.
Levy, F., & Kochan, T. (2012). Addressing the problem of stagnant wages. Comparative Economic Studies, 54, 739–764. doi:10.1057/ces.2012.28.
Lusardi, A., Schneider, D., & Tufano, P. (2011). Financially fragile households: Evidence and implications (NBER Working Paper No. 17072). Cambridge, MA: National Bureau of Economic Research.
Lynn, L., & Salzman, H. (2010). The globalization of technology development: Implications for US skills policy. In D. Finegold, M. Gatta, H. Salzman, & S. Schurman (Eds.), Transforming the US workforce development system: Lessons from research and practice (pp. 57–86). Ithaca, NY: Cornell University Press/ILR Press Book.
Mishel, L., Bivens, J., Gould, E., & Shierholz, H. (2012). The state of working America (12th ed.). Ithaca, NY: Cornell University Press.
Oliver, M., & Shapiro, T. (2006). Black wealth/white wealth: A new perspective on racial inequality. New York, NY: Taylor and Francis Group.
Paulsen, D., Platt, M., Huettel, S., & Brannon, E. (2012). From risk-seeking to risk-averse: The development of economic risk preference from childhood to adulthood. Frontiers in Psychology, 3(313), 1–6. doi:10.3389/fpsyg.2012.00313.
Piketty, T. (2014). Capital in the twenty-first century. Cambridge, MA: Belknap Press.
Price, D. (2004). Borrowing inequality: Race, class, and student loans. Boulder, CO: Lynne Rienner Publishers.
Rose, R. A., & Fraser, M. W. (2008). A simplified framework for using multiple imputation in social work research. Social Work Research, 32(3), 171–178. doi:10.1093/swr/32.3.171.
Rubin, D. B. (1987). Multiple imputation for nonresponse in surveys. New York, NY: Wiley.
Ryan, B. (2014). Starved of financing, new businesses are in decline. Washington, DC: GALLUP. Retrieved from http://www.gallup.com/businessjournal/175499/starved-financing-new-businesses-decline.aspx.
Shapiro, T., Meschede, T., & Osoro, S. (2013). The roots of the widening racial wealth gap: Explaining the black–white economic divide. Waltham, MA: Brandeis University, Institute on Assets and Social Policy. Retrieved from http://iasp.brandeis.edu/pdfs/Author/shapiro-thomas-m/racialwealthgapbrief.pdf.
Sironi, M., & Furstenberg, F. (2012). Trends in the economic independence of young adults in the United States: 1973–2007. Population and Development Review, 38(4), 609–630.
Sullivan, L., Meschede, T., Dietrich, L., Shapiro, T., Traub, A., Ruetschlin, C., et al. (2014). The racial wealth gap: Why policy matters. New York, NY: Demos. Retrieved from http://www.demos.org/sites/default/files/publications/RacialWealthGap_1.pdf.
Taylor, P., Kochhar, R., Fry, R., Velasco, G., & Motel, S. (2011). Wealth gaps rise to record highs between whites, blacks, and Hispanics. Washington, DC: Pew Research Center. Retrieved from http://www.pewsocialtrends.org/files/2011/07/SDT-Wealth-Report_7-26-11_FINAL.pdf.
Tomz, M., King, G., & Zeng, L. (2003). ReLogit: Rare events logistic regression. Journal of Statistical Software, 8(2), 137–163.
US Department of Labor. (2014). Employment and unemployment among youth summary. Washington, DC: US Department of Labor, Bureau of Labor Statistics. Retrieved from http://www.bls.gov/news.release/youth.nr0.htm.
US Small Business Administration. (2013). Small business lending in the United States, 2012. Washington, DC: US Small Business Administration, Office of Advocacy. Retrieved from https://www.sba.gov/sites/default/files/files/sbl_12study.pdf.
van Stel, A., Carree, M., & Thurik, R. (2005). The effect of entrepreneurial activity on national economic growth. Small Business Economics, 24(3), 311–321. doi:10.1007/s11187-005-1996-6.
Vowels, S. (2015). Economic impact report: The effects of NMSDC certified minority businesses enterprises on the U.S. economy. Retrieved from http://www.nmsdc.org/wp-content/uploads/Economic_Impact_Report_FINAL.pdf.
Wennekers, S., & Thurik, R. (1999). Linking entrepreneurship and economic growth. Small Business Economics, 13(1), 27–56. doi:10.1023/A:1008063200484.
Western, B., & Rosenfeld, J. (2011). Unions, norms, and the rise in US wage inequality. American Sociological Review, 76(4), 513–537. doi:10.1177/0003122411414817.
Winograd, M., & Hais, M. (2014). How Millennials could upend Wall Street and corporate America. Washington, DC: Brookings Institution, Governance Studies. Retrieved from http://www.brookings.edu/~/media/research/files/papers/2014/05/millennials%20wall%20st/brookings_winogradv5.pdf.
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Friedline, T., West, S. Young Adults’ Race, Wealth, and Entrepreneurship. Race Soc Probl 8, 42–63 (2016). https://doi.org/10.1007/s12552-016-9163-z
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DOI: https://doi.org/10.1007/s12552-016-9163-z