Skip to main content

Advertisement

Log in

Child Poverty as a Determinant of Life Outcomes: Evidence from Nationwide Surveys in Japan

  • Published:
Social Indicators Research Aims and scope Submit manuscript

Abstract

We attempt to examine the extent to which poverty in childhood adversely affects success in adulthood, using micro data from nationwide surveys in Japan and taking into account the recursive structure of life outcomes. We use retrospective assessments of income class at the age of 15, because longitudinal data on household income are not available. After controlling for its endogeneity, we confirm that children from poor families tend to have lower educational attainment, face higher poverty risks, and assess themselves as being less happy and as suffering from poorer health.

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
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Notes

  1. Wilde (2000) argues that one varying exogenous regressor in each equation is sufficient to avoid identification problems in multi-equation probit models with endogenous dummy regressors. As mentioned by Wilde, this argument depends on the assumption of a multivariate normal distribution of the disturbances.

  2. The 2004 Survey was not conducted.

  3. The number of siblings was not collected in the 2003 JGSS. We repeated the estimations by including it in “poor at age 15” and “graduated from college or above” equations and using data from the 2000–2002 and 2005–2006 surveys. We confirmed its significant impact (positive for “poor at age 15,” and negative for graduated from college or above) but no substantial difference in the other estimated parameters.

References

  • Abe, A. (2008). Kodomo no hinkon [Child poverty]. Tokyo: Iwanami Shoten. (Japanese).

    Google Scholar 

  • Ben-Shlomo, Y., & Kuh, D. (2002). A life course approach to chronic disease epidemiology: Conceptual models, empirical challenges and interdisciplinary perspectives. International Journal of Epidemiology, 31, 285–293.

    Article  Google Scholar 

  • Blanchflower, D. G., & Oswald, A. J. (2004). Well-being over time in Britain and the USA. Journal of Public Economics, 88, 1359–1386.

    Article  Google Scholar 

  • Blau, D. M. (1999). The effect of income on child development. The Review of Economics and Statistics, 81, 261–276.

    Article  Google Scholar 

  • Bowles, S., Gintis, H., & Groves, M. O. (2005). Unequal chances: Family background and economic success. Princeton: Princeton University Press.

    Google Scholar 

  • Cappellari, L., & Jenkins, S. P. (2003). Multivariate probit regression using simulated maximum likelihood. The Stata Journal, 3, 278–294.

    Google Scholar 

  • Carneiro, P., & Heckman, J. J. (2003). Human capital policy. In J. Heckman & A. Krueger (Eds.), Inequality in America: What role for human capital policies (pp. 77–239). Cambridge, MA: MIT Press.

    Google Scholar 

  • Clark, A. E., & Oswald, A. J. (1994). Unhappiness and unemployment. Economic Journal, 104, 648–659.

    Article  Google Scholar 

  • Corcoran, M. (1995). Rags to rags: Poverty and mobility in the U.S. Annual Review of Sociology, 21, 237–267.

    Article  Google Scholar 

  • Di Tella, R., MacCulloch, R. J., & Oswald, A. J. (2001). Preferences over inflation and unemployment: Evidence from surveys of happiness. American Economic Review, 91, 335–341.

    Article  Google Scholar 

  • Duncan, G. J., & Brooks-Gunn, J. (Eds.). (1997). Consequences of growing up poor. New York: Russell Sage.

    Google Scholar 

  • Duncan, G. J., Yeung, J. W., Brooks-Gunn, J., & Smith, J. R. (1998). How does childhood poverty affect the life chances of children? American Sociological Review, 63, 406–423.

    Article  Google Scholar 

  • Easterlin, R. A. (2001). Income and happiness: Towards a unified theory. Economic Journal, 111, 465–484.

    Article  Google Scholar 

  • Frey, B. S., & Stutter, A. (2002). What can economists learn from happiness research? Journal of Economic Literature, 40, 402–435.

    Article  Google Scholar 

  • Haveman, R., & Wolfe, B. (1995). The determinants of children’s attainments: A review of methods. Journal of Economic Literature, 33, 1829–1878.

    Google Scholar 

  • Kuh, D., Ben-Shlomo, Y., Lynch, J., Hallqvist, J., & Power, C. (2003). Life course epidemiology. Journal of Epidemiology and Community Health, 57, 778–783.

    Article  Google Scholar 

  • Lleras-Muney, A. (2005). The relationship between education and adult mortality in the United States. Review of Economic Studies, 72, 189–221.

    Article  Google Scholar 

  • Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.

    Google Scholar 

  • Mayer, S. (1997). What money can’t buy: Family income and children’s life chances. Cambridge: Harvard University Press.

    Google Scholar 

  • OECD. (2006). Economic survey of Japan 2006. Paris: OECD.

    Book  Google Scholar 

  • OECD. (2008). Growing unequal? Income distribution and poverty in OECD countries. Paris: OECD.

    Google Scholar 

  • Oishi, A. (2007). Kodomo no hinkon no doko to sono kiketsu [Child poverty: Its trends and consequences]. The Quarterly of Social Security Research, 43, 54–64. (Japanese).

    Google Scholar 

  • Seccombe, K. (2000). Families in poverty in the 1990s: Trends, causes, consequences, and lessons learned. Journal of Marriage and Family, 62, 1094–1113.

    Article  Google Scholar 

  • Seccombe, K., & Ferguson, Susan. J. (2006). Families in poverty: Volume I in the “Families in the 21st century series”. Boston: Allyn & Bacon.

    Google Scholar 

  • Shea, J. (2000). Does parents’ money matter? Journal of Public Economics, 77, 155–184.

    Article  Google Scholar 

  • Smith, J. P. (1999). Healthy bodies and thick wallets: The dual relation between health and economics status. Journal of Economic Perspectives, 13, 145–166.

    Article  Google Scholar 

  • Tachibanaki, T. (2005). Confronting income inequality in Japan. Cambridge, MA: MIT Press.

    Google Scholar 

  • Wilde, J. (2000). Identification of multiple equation probit models with endogenous dummy regressors. Economics Letters, 69, 309–312.

    Article  Google Scholar 

  • Winkelmann, L., & Winkelmann, R. (1998). Why are the unemployed so unhappy?: Evidence from panel data. Economica, 65, 1–15.

    Article  Google Scholar 

Download references

Acknowledgments

The data for this secondary analysis, the Japanese General Social Surveys (JGSS), was provided by the Social Science Japan Data Archive, Information Center for Social Science Research on Japan, Institute of Social Science, the University of Tokyo. The JGSS are designed and carried out by the JGSS Research Center at Osaka University of Commerce (Joint Usage/Research Center for Japanese General Social Surveys accredited by Minister of Education, Culture, Sports, Science and Technology), in collaboration with the Institute of Social Science at the University of Tokyo. We appreciate the financial support provided by Grant-in-Aid for Scientific Research on Priority Areas (21119004) and Grant-in-Aid for Scientific Research (B) (21330057).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takashi Oshio.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oshio, T., Sano, S. & Kobayashi, M. Child Poverty as a Determinant of Life Outcomes: Evidence from Nationwide Surveys in Japan. Soc Indic Res 99, 81–99 (2010). https://doi.org/10.1007/s11205-009-9567-x

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11205-009-9567-x

Keywords

Navigation