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Changes in Household Composition and Children’s Educational Attainment

Demography volume 56, pages 525–548 (2019)Cite this article

Abstract

Changes in parental romantic relationships are an important component of family instability, but children are exposed to many other changes in the composition of their households that bear on child well-being. Prior research that focused on parental transitions has thus overlooked a substantial source of instability in children’s lives. I argue that the instability in children’s residential arrangements is characterized by household instability rather than family instability. To evaluate this thesis, I use the 1968–2015 waves of the Panel Study of Income Dynamics and time-varying methods for causal inference to test the independent effects of different types of changes in household composition on educational attainment. Experiencing changes involving nonparent, nonsibling household members has a significant negative effect on educational attainment that is similar in magnitude to that for children who experience changes involving residential parents. Measures of parental changes miss the nearly 20 % of children who experience changes involving household members other than parents or siblings. By showing that changes in nonparental household members are both common and consequential experiences for children, I demonstrate the value of conceptualizing the changes to which children are exposed as a product of household instability, rather than simply family instability.

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Notes

  1. I can observe children who enter the survey between 1968 and 1980 every year given the PSID’s annual data collection from 1968 until 1997. I include in my sample children who entered the survey after 1980 and remained in the survey until age 17, but I do not observe them every year because the PSID switched to biennial data collection in 1997. I use four logistic regression models to predict the four mutually exclusive types of household change rather than a multinomial logistic regression model because the multinomial model does not allow me to account for the variation in the length of time between observations (annual vs. biennial) both within children and between children in my prediction models; specifically, Stata does not allow the use of the offset option in multinomial models to account for different exposure time. Using a multinomial logistic regression model produces similar results (available upon request).

  2. The unstabilized IPT weights that I estimate range from 1.21 to 1.15 × 1016 (with a standard deviation of 1.46 × 1014), whereas the stabilized weights range from 0.002 to 1.92 × 108 (SD = 2,372,773). This range demonstrates that the stabilized weights include both very small and very large numbers, so for analysis, I truncate the weights at the 5th and 95th percentile, resulting in a stabilized weight that ranges from 0.10 to 2.34 (SD = 0.54).

  3. Although 7 % of children in this category experienced changes involving only cohabiting partners of parents, 8 % of children in this category experienced at least one change involving a cohabiting partner of a parent. Thus, 92 % of children in this nonparent, nonsibling change category experienced a change involving an extended family member or nonrelative who is not a cohabiting partner of a parent. Among the 788 children who experienced changes involving both parents and other household members, 27 % experienced at least one change involving a cohabiting partner of a parent. Cohabiting partners of parents are thus not responsible for the majority of nonparent changes to which children are exposed. Cohabiting partners are not even responsible for most changes involving nonrelatives. Fewer than one-half of the nonrelative changes experienced by children entering the survey after 1983 involved cohabiting partners.

  4. These predicted probabilities are calculated using the Stata margins command with estimates from the stabilized IPT–weighted outcome model and interacting category of household change with race (white vs. black).

References

  • Amato, P. R., & Cheadle, J. (2005). The long reach of divorce: Divorce and child well-being across three generations. Journal of Marriage and Family, 67, 191–206.

    Article  Google Scholar 

  • Amato, P. R., & Keith, B. (1991). Parental divorce and the well-being of children: A meta-analysis. Psychological Bulletin, 110, 26–46.

    Article  Google Scholar 

  • Aquilino, W. S. (1996). The life course of children born to unmarried mothers: Childhood living arrangements and young adult outcomes. Journal of Marriage and the Family, 58, 293–310.

    Article  Google Scholar 

  • Beck, A. N., Cooper, C. E., McLanahan, S., & Brooks-Gunn, J. (2010). Partnership transitions and maternal parenting. Journal of Marriage and Family, 72, 219–233.

    Article  Google Scholar 

  • Bengtson, V. L. (2001). Beyond the nuclear family: The increasing importance of multigenerational bonds. Journal of Marriage and Family, 63, 1–16.

    Article  Google Scholar 

  • Brand, J. E., Moore, R., Song, X., & Xie, Y. (2017). Unequal families, unequal effects: How parental divorce differentially impacts children’s educational attainment (UCLA California Center for Population Research Working Paper No. PWP-CCPR-2017-010). Los Angeles: University of California.

  • Brown, S. L. (2006). Family structure transitions and adolescent well-being. Demography, 43, 447–461.

    Article  Google Scholar 

  • Cavanagh, S. E. (2008). Family structure history and adolescent adjustment. Journal of Family Issues, 29, 944–980.

    Article  Google Scholar 

  • Cavanagh, S. E., & Huston, A. C. (2006). Family instability and children’s early problem behavior. Social Forces, 85, 551–581.

    Article  Google Scholar 

  • Chase-Lansdale, P. L., Brooks-Gunn, J., & Zamsky, E. S. (1994). Young African-American multigenerational families in poverty: Quality of mothering and grandmothering. Child Development, 65, 373–393.

    Article  Google Scholar 

  • Cherlin, A. J., Kiernan, K. E., & Chase-Lansdale, P. L. (1995). Parental divorce in childhood and demographic outcomes in young adulthood. Demography, 32, 299–318.

    Article  Google Scholar 

  • Chung, P. H., & Hepburn, P. (2018). Mass imprisonment and the extended family. Sociological Science, 5, 335–360. https://doi.org/10.15195/v5.a15

    Article  Google Scholar 

  • Cohen, P. N., & Casper, L. M. (2002). In whose home? Multigenerational families in the United States, 1998–2000. Sociological Perspectives, 45, 1–20.

    Article  Google Scholar 

  • Coleman, M., Ganong, L., & Fine, M. (2000). Reinvestigating remarriage: Another decade of progress. Journal of Marriage and the Family, 62, 1288–1307.

    Article  Google Scholar 

  • Copen, C. E., Daniels, K., Vespa, J., & Mosher, W. D. (2012). First marriages in the United States: Data from the 2006–2010 National Survey of Family Growth (National Health Statistics Reports No. 49). Hyattsville, MD: National Center for Health Statistics.

    Google Scholar 

  • DeLeire, T., & Kalil, A. (2002). Good things come in threes: Single-parent multigenerational family structure and adolescent adjustment. Demography, 39, 393–413.

    Article  Google Scholar 

  • Duncan, G. J., & Murnane, R. J. (Eds.) (2011). Whither opportunity? Rising inequality, schools, and children’s life chances. New York, NY: Russell Sage.

    Google Scholar 

  • Dunifon, R., & Kowaleski-Jones, L. (2007). The influence of grandparents in single-mother families. Journal of Marriage and Family, 69, 465–481.

    Article  Google Scholar 

  • Fomby, P., & Cherlin, A. J. (2007). Family instability and child well-being. American Sociological Review, 72, 181–204.

    Article  Google Scholar 

  • Fomby, P., Mollborn, S., & Sennott, C. A. (2010). Race/ethnic differences in effects of family instability on adolescents’ risk behavior. Journal of Marriage and Family, 72, 234–253.

    Article  Google Scholar 

  • Fomby, P., & Osborne, C. (2010). The influence of union instability and union quality on children’s aggressive behavior. Social Science Research, 39, 912–924.

    Article  Google Scholar 

  • Freudenberg, N., & Ruglis, J. (2007). Reframing school dropout as a public health issue. Preventing Chronic Disease, 4(4), A107. Retrieved from https://www.cdc.gov/pcd/issues/2007/oct/07_0063.htm

  • Glick, J. E., & Van Hook, J. (2011). Does a house divided stand? Kinship and the continuity of shared living arrangements. Journal of Marriage and Family, 73, 1149–1164.

    Article  Google Scholar 

  • Goldstein, J. R., & Kenney, C. T. (2001). Marriage delayed or marriage forgone? New cohort forecasts of first marriage for U.S. women. American Sociological Review, 66, 506–519.

    Article  Google Scholar 

  • Harvey, H. (2015, August). When mothers can’t “pay the cost to be the boss”: Roles and identity within doubled-up households. Paper presented at the annual meeting of the American Sociological Association, Chicago, IL.

  • Hernán, M. A. (2018). The C-word: Scientific euphemisms do not improve causal inference from observational data. American Journal of Public Health, 108, 616–619.

    Article  Google Scholar 

  • Kim, H. S. (2011). Consequences of parental divorce for child development. American Sociological Review, 76, 487–511.

    Article  Google Scholar 

  • Lee, D., & McLanahan, S. (2015). Family structure transitions and child development: Instability, selection, and population heterogeneity. American Sociological Review, 80, 738–763.

  • Martin, S. P. (2006). Trends in marital dissolution by women’s education in the United States. Demographic Research, 15, 537–560. https://doi.org/10.4054/DemRes.2006.15.20

    Article  Google Scholar 

  • McLanahan, S. (2011). Family instability and complexity after a nonmarital birth: Outcomes for children in fragile families. In M. J. Carlson & P. England (Eds.), Social class and changing families in an unequal America (pp. 108–133). Stanford, CA: Stanford University Press.

    Google Scholar 

  • McLanahan, S., & Sandefur, G. (1994). Growing up with a single parent: What hurts, what helps. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • McLanahan, S., Tach, L., & Schneider, D. (2013). The causal effects of father absence. Annual Review of Sociology, 39, 399–427.

    Article  Google Scholar 

  • Mitchell, K. S. (2013). Pathways of children’s long-term living arrangements: A latent class analysis. Social Science Research, 42, 1284–1296.

    Article  Google Scholar 

  • Mollborn, S. (2016). Young children’s developmental ecologies and kindergarten readiness. Demography, 53, 1853–1882.

    Article  Google Scholar 

  • Mollborn, S., Fomby, P., & Dennis, J. A. (2012). Extended household transitions, race/ethnicity, and early childhood cognitive outcomes. Social Science Research, 41, 1152–1165.

    Article  Google Scholar 

  • Mutchler, J. E., & Baker, L. A. (2009). The implications of grandparent coresidence for economic hardship among children in mother-only families. Journal of Family Issues, 30, 1576–1597.

    Article  Google Scholar 

  • Oreopoulos, P. (2007). Do dropouts drop out too soon? Wealth, health and happiness from compulsory schooling. Journal of Public Economics, 91, 2213–2229.

    Article  Google Scholar 

  • Panel Study of Income Dynamics. (2017). Public use dataset. Ann Arbor, MI: Produced and distributed by the Survey Research Center, Institute for Social Research, University of Michigan.

  • Perkins, K. L. (2017). Household complexity and change among children in the United States, 1984 to 2010. Sociological Science, 4, 701–724. https://doi.org/10.15195/v4.a29

    Article  Google Scholar 

  • Perkins, K. L., & Sampson, R. J. (2015). Compounded deprivation in the transition to adulthood: The intersection of racial and economic inequality among Chicagoans, 1995–2013. RSF: Russell Sage Journal of the Social Sciences, 1, 35–54. https://doi.org/10.7758/RSF.2015.1.1.03

    Article  Google Scholar 

  • Pilkauskas, N. V. (2012). Three-generation family households: Differences by family structure at birth. Journal of Marriage and Family, 74, 931–943.

    Article  Google Scholar 

  • Quillian, L. (2003). How long are exposures to poor neighborhoods? The long-term dynamics of entry and exit from poor neighborhoods. Population Research and Policy Review, 22, 221–249.

    Article  Google Scholar 

  • Robins, J. M., Hernán, M. A., & Brumback, B. (2000). Marginal structural models and causal inference in epidemiology. Epidemiology, 11, 550–560.

    Article  Google Scholar 

  • Rumberger, R. W. (1987). High-school dropouts: A review of issues and evidence. Review of Educational Research, 57, 101–121.

    Article  Google Scholar 

  • Sarkisian, N., & Gerstel, N. (2004). Kin support among blacks and whites: Race and family organization. American Sociological Review, 69, 812–837.

    Article  Google Scholar 

  • Sun, Y. M., & Li, Y. Z. (2014). Alternative households, structural changes, and cognitive development of infants and toddlers. Journal of Family Issues, 35, 1440–1472.

    Article  Google Scholar 

  • Upchurch, D. M., Lillard, L. A., & Panis, C. W. A. (2002). Nonmarital childbearing: Influences of education, marriage, and fertility. Demography, 39, 311–329.

    Article  Google Scholar 

  • Vespa, J., Lewis, J. M., & Kreider, R. M. (2013). America’s families and living arrangements: 2012 (Report No. P20-570). Washington, DC: U.S. Census Bureau.

    Google Scholar 

  • Wu, L. L. (1996). Effects of family instability, income, and income instability on the risk of a premarital birth. American Sociological Review, 61, 386–406.

    Article  Google Scholar 

Download references

Acknowledgments

An earlier version of this article was presented at the 2017 annual meeting of the Population Association of America in Chicago, IL. For excellent comments and guidance, I gratefully acknowledge Kathryn Edin, Alexandra Killewald, Ann Owens, Robert J. Sampson, Daniel Schneider, and Bruce Western. Matthew Arck helped with formatting. Any errors are my own. This research was supported by the Joint Center for Housing Studies of Harvard University and a Harvard University grant from the Multidisciplinary Program in Inequality & Social Policy. The collection of Panel Study of Income Dynamics data used in this study was party supported by the National Institutes of Health under Grant No. R01 HD069609 and the National Science Foundation under Award No. 1157698.

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    Kristin L. Perkins

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Perkins, K.L. Changes in Household Composition and Children’s Educational Attainment. Demography 56, 525–548 (2019). https://doi.org/10.1007/s13524-018-0757-5

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Keywords

  • Children
  • Family instability
  • Households
  • Educational attainment
  • Race