Children’s Living Arrangements and On-time Progression Through School in Latin America and the Caribbean

Abstract

We used data from Demographic and Health Surveys and the Mexican Family Life Survey to test how children’s living arrangements were related to their progress through school in countries comprising three-quarters of the population in Latin America and the Caribbean. Our results indicated that family instability presents a challenge for educational progress: Large proportions (23–60 %) lived apart from at least one biological parent, and children in stepfamilies did not show better educational progress than children living with single parents. In some countries, living with other men was associated with worse educational outcomes, and the occasional advantage associated with living with other women was modest. Other adults in the household did not appear to buffer negative effects associated with parental absence.

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Notes

  1. 1.

    Children living in female-headed households in sub-Saharan Africa had better educational outcomes (Lloyd and Blanc 1996; Townsend et al. 2002), but the Townsend study nonetheless found that coresidence with both parents was superior to living with one or none. This is part of a growing body of work showing that female headship is a poor proxy for single parenthood (see also Clark and Hamplová 2013).

  2. 2.

    In the pooled sample, the language test score differences were not significant and the math test score differences were modest but significant. The lower rates of grade repetition among children from two-parent homes were statistically significant and of more important magnitude.

  3. 3.

    Stacer and Perruci’s (2013) analysis of family structure and school involvement did not distinguish between two-biological-parent families and other two-parent families, and they did not find greater involvement at school among two-parent families as a whole.

  4. 4.

    Retrieved from http://dhsprogram.com/data/available-datasets.cfm.

  5. 5.

    Retrieved from http://www.ennvih-mxfls.org/english/ennhiv-3.html.

  6. 6.

    The 1996 Brazil DHS was the oldest data in our sample and was of particular concern because the economy has changed so rapidly in recent years. Although most censuses do not distinguish between children and stepchildren of the household head, the 2010 Brazilian census was one of the few censuses that did. Thus a similar analysis to what we conducted here was possible for the subsample of children/stepchildren of the household head. The results were very similar to an analysis of the 1996 Brazil DHS limited to children/stepchildren of the household head. This eased concern that using older data may have been problematic.

  7. 7.

    The DHS included questions in the individual woman’s interviews that identified whether the woman was in union as well as whether her partner was in the household. We did not, however, want to utilize that information since it would have required limiting the sample to children living with interviewed mothers, consequently eliminating children living with only their biological father as well as children living with neither parent. Our constructed stepparent variable was of higher quality than the “probable stepparent” variable used in harmonized census data from the International Public Use Microdata Series (IPUMS) because we knew whether both biological parents were in the household: the IPUMS methodology only captures stepparents whose age makes them improbable biological parents, while our methodology included biological parents’ partners when the other biological parent was absent.

  8. 8.

    1 = poor floor, poor drinking water, and poor toilet; 2 = 2 of the following (poor floor, poor drinking water, and poor toilet); 3 = 1 of the following (poor floor, poor drinking water, and poor toilet); 4 = 0 or 1 of the following (poor floor, poor drinking water, and poor toilet) and a radio; 5 = 0 or 1 of the following (poor floor, poor drinking water, and poor toilet) and electricity; 6 = 0 or 1 of the following (poor floor, poor drinking water, and poor toilet) and a television; 7 = 0 or 1 of the following (poor floor, poor drinking water, and poor toilet) and a refrigerator; and 8 = 0 or 1 of the following (poor floor, poor drinking water, and poor toilet) and a car. Some countries have a DHS-provided wealth index that divides households into wealth quintiles within the country (relative wealth). In no case where the Giroux wealth index could be compared to the relative wealth measure was the statistical significance of living arrangements variables affected by the choice of wealth control. Thus we used the Giroux index rather than the DHS-provided relative wealth index to retain the maximum number of countries and comparability across diverse settings in the pooled sample.

  9. 9.

    2015 population data were from the World Population data sheet (PRB 2015). We retained all of the observations for Mexico rather than Brail (the largest country in the region) because there would not have been enough observations for a proportionate sample from Mexico. Brazil had 7034 observations, Mexico 4368, Colombia 1685, Peru 1073, Guatemala 557, Haiti 375, Dominican Republic 361, Bolivia 361, Honduras 285, Nicaragua 217, and Guyana 24. Some regions, particularly in Guyana, were dropped due to lack of variation in on-time progression within some regions in the limited sample.

  10. 10.

    The reference category in Table 4 is two biological parents, but we also formally tested whether the apparent differences between absent-partner and single-parent homes were statistically significant.

  11. 11.

    The effects of parental education and household assets were significant in every country; the urban advantage was significant in six countries.

  12. 12.

    This female advantage in education in Latin America and the Caribbean has been documented before (e.g., Creighton and Park 2010; Grant and Behrman 2010; Knodel and Jones 1996; Willms and Somer 2001); having found it here indicated that although the DHS does not specialize in collecting education data, the data were nonetheless of high quality.

References

  1. Amato, P. R., & Keith, B. (1991). Consequences of parental divorce for children’s well-being: A meta-analysis. Psychological Bulletin, 110(1), 26–46. doi:10.1037/0033-2909.110.1.26.

    Article  Google Scholar 

  2. Anderson, K. G. (2003). Family structure, schooling outcomes, and investment in education in South Africa. Population Studies Centre Research Report, 03-538. Retrieved from http://www.psc.isr.umich.edu/pubs/pdf/rr03-538.pdf

  3. Anderson, K. G. (2005). Relatedness and investment in children in South Africa. Human Nature, 16(1), 1–31. doi:10.1007/s12110-005-1005-4.

    Article  Google Scholar 

  4. Anderson, K. G., Case, A., & Lam, D. (2001). Causes and consequences of schooling outcomes in South Africa: Evidence from survey data. Social Dynamics, 27(1), 37–59. doi:10.1080/02533950108458703.

    Article  Google Scholar 

  5. Arends-Kuenning, M., & Duryea, S. (2006). The effect of parental presence, parents’ education, and household headship on adolescents’ schooling and work in Latin America. Journal of Family and Economic Issues, 27, 263–286. doi:10.1007/s10834-006-9011-1.

    Article  Google Scholar 

  6. Argeseanu, S. (2006). Who promotes child well-being? Essays on the importance of the household for child well-being (Doctoral dissertation). Retrieved from Proquest (Paper AAI3246132).

  7. Barro, R. J., & Lee, J. W. (2013). A new data set of educational attainment in the world, 1950–2010. Journal of Development Economics, 104, 184–198. doi:10.1016/j.jdeveco.2012.10.001.

    Article  Google Scholar 

  8. Beltrán, A. (2013). El tiempo de la familia es un recurso escaso:?` Cómo afecta su distribución en el desempeño escolar? [Household time is a scarce resource: How does time allocation within the household affect children’s schooling performance?]. Apuntes: Revista De Ciencias Sociales, 40(72), 117–156. Retrieved from http://revistas.up.edu.pe/index.php/apuntes/article/view/20/16

  9. Benavides, M., & Mena, M. (2010). Informe de progreso educativo, Perú 2010 [Report on educational progress, Peru 2010]. Lima, Perú: PREAL; GRADE. Retrieved from http://cippec.org/mapeal/wp-content/uploads/2014/05/Informe-de-progreso-educativo-Peru.pdf

  10. Bernardi, F., & Radl, J. (2014). The long-term consequences of parental divorce for children’s educational attainment. Demographic Research, 30(1653–1680), 2014. doi:10.4054/DemRes.2014.30.61.

    Google Scholar 

  11. Bock, J. (2002). Evolutionary demography and intrahousehold time allocation: School attendance and child labor among the Okavango Delta peoples of Botswana. American Journal of Human Biology, 14, 206–221. doi:10.1002/ajhb.10040.

    Article  Google Scholar 

  12. Case, A., & Deaton, A. (1999). School inputs and educational outcomes in South Africa. Quarterly Journal of Economics, 114, 1047–1084. doi:10.1162/003355399556124.

    Article  Google Scholar 

  13. Castro Martín, T. (2002). Consensual unions in Latin America: Persistence of a dual nuptiality system. Journal of Comparative Family Studies, 33, 35–55. Retrieved from http://www.jstor.org/stable/41603790.

  14. Cherian, V. I. (1989). Academic achievement of children of divorced parents. Psychological Reports, 64, 355–358. doi:10.2466/pr0.1989.64.2.355.

    Article  Google Scholar 

  15. Cherlin, A. J. (2009). The marriage-go-round: The state of marriage and family in America today. New York: Knopf.

    Google Scholar 

  16. Chernichovsky, D. (1985). Socioeconomic and demographic aspects of school enrollment and attendance in rural Botswana. Economic Development and Cultural Change, 33, 319-332. Retrieved from http://www.jstor.org/stable/1153230

  17. Chudgar, A., & Luschei, T. F. (2009). National income, income inequality, and the importance of schools: A hierarchical cross-national comparison. American Educational Research Journal, 46, 626–658. doi:10.3102/0002831209340043.

    Article  Google Scholar 

  18. Cid, A., & Stokes, C. E. (2013). Family structure and children’s education outcome: Evidence from Uruguay. Journal of Family and Economic Issues, 34, 185–199. doi:10.1007/s10834-012-9326-z.

    Article  Google Scholar 

  19. Clark, S., & Hamplová, D. (2013). Single motherhood and child mortality in sub-Saharan Africa: A life course perspective. Demography, 50, 1521–1549. doi:10.1007/s13524-013-0220-6.

    Article  Google Scholar 

  20. Creighton, M., & Park, H. (2010). Closing the gender gap: Six decades of reform in Mexican education. Comparative Education Review, 54, 513–537. doi:10.1086/653702.

    Article  Google Scholar 

  21. Creighton, M. J., Park, H., & Teruel, G. M. (2009). The role of migration and single motherhood in upper secondary education in Mexico. Journal of Marriage and Family, 71, 1325–1339. doi:10.1111/j.1741-3737.2009.00671.x.

    Article  Google Scholar 

  22. De Vos, S. (2001). Family structure and school attendance among children 13-16 in Argentina and Panama. Journal of Comparative Family Studies, 32, 99–115. Retrieved from http://www.jstor.org/stable/41603731

  23. Dearden, K., Crookston, B., Madanat, H., West, J., Penny, M., & Cueto, S. (2013). What difference can fathers make? Early paternal absence compromises Peruvian children’s growth. Maternal and Child Nutrition, 9(1), 143–154. doi:10.1111/j.1740-8709.2011.00347.x.

    Article  Google Scholar 

  24. DeRose, L., Corcuera, P., Gas, M., Molinero Fernandez, L. C., Salazar, A., & Tarud, C. (2014). Family instability and early childhood health in the developing world. Bethesda, MD: Child Trends. Retrieved from the World Family Map website: http://worldfamilymap.ifstudies.org/2014/articles/family-instability-and-early-childhood-health.

  25. Desai, S. (1992). Children at risk: The role of family structure in Latin America and West Africa. Population and Development Review, 18, 689–717. doi:10.2307/1973760.

    Article  Google Scholar 

  26. Downey, D. B. (2001). Number of siblings and intellectual development: The resource dilution explanation. American Psychologist, 56, 497–504. doi:10.1037//0003-066X.56.6-7.497.

    Article  Google Scholar 

  27. Escobal, J., Saavedra, J., & Vakis, R. (2012). ¿Está el piso parejo para los niños en el Perú? Medición y comprensión de la evolución de las oportunidades [Is there a level playing field for children in Peru? Measuring and understanding the evolving opportunities]. Lima: Banco Mundial; GRADE. Retrieved from http://www.younglives.org.uk/publications/PP/is-there-a-level-playing-field-for-children-in-peru/esta-el-piso-parejo-para-los-ninos-en-el-peru.

  28. Esteve, A., Lesthaeghe, R., & López-Gay, A. (2012). The Latin American cohabitation boom, 1970–2007. Population and Development Review, 38, 55–81. doi:10.1111/j.1728-4457.2012.00472.x.

    Article  Google Scholar 

  29. Fuller, B., & Clarke, P. (1994). Raising school effects while ignoring culture? Local conditions and the influence of classroom tools, rules, and pedagogy. Review of Educational Research64, 119–157. Retrieved from http://www.jstor.org/stable/1170747

  30. Fuller, B., & Liang, X. (1999). Which girls stay in school? The influences of family economy, social demands, and ethnicity in South Africa. In C. H. Bledsoe, J. B. Casterline, J. A. Johnson-Kuhn, & J. G. Haaga (Eds.), Critical perspectives on schooling and fertility in the developing world (pp. 181–215). Washington, DC: National Academies Press.

    Google Scholar 

  31. Fussell, E., & Palloni, A. (2004). Persistent marriage regimes in changing times. Journal of Marriage and Family, 66, 1201–1213. doi:10.1111/j.0022-2445.2004.00087.x.

    Article  Google Scholar 

  32. Giroux, S. C. (2008). Child stunting across schooling and fertility transitions: Evidence from sub-Saharan Africa (Working Paper No. 57). Retrieved from the Demographic and Health Surveys Program website: http://dhsprogram.com/pubs/pdf/WP57/WP57.pdf

  33. Gomes, M. (1984). Family size and educational attainment in Kenya. Population and Development Review, 10, 647-660. Retrieved from http://www.jstor.org/stable/1973285

  34. Grant, M. J., & Behrman, J. R. (2010). Gender gaps in educational attainment in less developed countries. Population and Development Review, 36, 71–89. doi:10.1111/j.1728-4457.2010.00318.x.

    Article  Google Scholar 

  35. Hampden-Thompson, G. (2009). Are two better than one? A comparative study of achievement gaps and family structure. Compare, 39, 517–534. doi:10.1080/03057920802366372.

    Google Scholar 

  36. Hanushek, E. A., & Woessmann, L. (2012). Schooling, educational achievement, and the Latin American growth puzzle. Journal of Development Economics, 99, 497–512. doi:10.1016/j.jdeveco.2012.06.004.

    Article  Google Scholar 

  37. Heaton, T. B., Acheampong, Y. A., & Dufur, M. (2014). Race differences in educational attainment of youth aged 7-18 in post-apartheid South Africa: The role of family structure, resources and school quality. South African Review of Sociology, 45(1), 101–121. doi:10.1080/21528586.2014.887917.

    Article  Google Scholar 

  38. Hetherington, E. M., Bridges, M., & Insabella, G. (1998). What matters and what does not? Five perspectives on the associations between family transitions and children’s adjustment. American Psychologist, 53, 167–184. doi:10.1037/0003-066X.53.2.167.

    Article  Google Scholar 

  39. Hofferth, S. L., & Anderson, K. G. (2003). Are all dads equal? Biology versus marriage as a basis for paternal investment. Journal of Marriage and Family, 65, 213–232. doi:10.1111/j.1741-3737.2003.00213.x.

    Article  Google Scholar 

  40. Huisman, J., & Smits, J. (2009). Keeping children in school: Household and district-level determinants of school dropout in 363 districts of 30 developing countries. Sage OPEN, 5(4), 1–16. Retrieved from http://uva-aias.net/uploaded_files/regular/261109-Smits-NiCEworkingpaper09-105schooldropoutHuismanSmits.pdf.

  41. Ishida, K. (2010). The role of ethnicity in father absence and children’s school enrollment in Guatemala. Population Research and Policy Review, 29, 569–591. doi:10.1007/s11113-009-9160-7.

    Article  Google Scholar 

  42. Jensen, R. (2010). The (perceived) returns to education and the demand for schooling. The Quarterly Journal of Economics, 125(2), 515–548. doi:10.1162/qjec.2010.125.2.515.

    Article  Google Scholar 

  43. Kalil, A., Ryan, R., & Chor, E. (2014). Time investments in children across family structures. The ANNALS of the American Academy of Political and Social Science, 654(1), 150–168. doi:10.1177/0002716214528276.

    Article  Google Scholar 

  44. Kiernan, K. (2001). The rise of cohabitation and childbearing outside marriage in Western Europe. International Journal of Law Policy and the Family, 15, 1–21. doi:10.1093/lawfam/15.1.1.

    Article  Google Scholar 

  45. Knodel, J., & Jones, G. W. (1996). Post-Cairo population policy: Does promoting girls’ schooling miss the mark? Population and Development Review, 22, 683–702. Retrieved from http://www.jstor.org/stable/2137805

  46. Lloyd, C. B., & Blanc, A. K. (1996). Children’s schooling in sub-Saharan Africa: The role of fathers, mothers, and others. Population and Development Review, 22, 265–298. Retrieved from http://www.jstor.org/stable/2137435

  47. Madhavan, S., Richter, L., Norris, S., & Hosegood, V. (2014). Father’s financial support of children in a low-income community in South Africa. Journal of Family and Economic Issues, 35, 452–463. doi:10.1007/s10834-013-9385-9.

    Article  Google Scholar 

  48. Magnuson, K., & Berger, L. M. (2009). Family structure states and transitions: Associations with children’s wellbeing during middle childhood. Journal of Marriage and Family, 71, 575–591. doi:10.1111/j.1741-3737.2009.00620.x.

    Article  Google Scholar 

  49. Mahaarcha, W., & Kittisuksathit, S. (2009). Impact of family structure, parental migration, and parental divorce on an adolescent’s educational enrollment: Evidence from a longitudinal study in Kanchanaburi Province, Thailand. Journal of Population and Social Studies18, 1–22. Retrieved from http://www.jpss.mahidol.ac.th/index.php?option=com_content&view=article&id=51:vol18-no1-01&catid=37:vol18-no2&Itemid=65

  50. Mboya, M. M., & Nesengani, R. I. (1999). Migrant labor in South Africa: A comparative analysis of the academic achievement of father-present and father-absent adolescents. Adolescence, 34(136), 763–767.

    Google Scholar 

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

    Google Scholar 

  52. Mizala, A., Romaguera, P. & Reinaga, T. (2000). Factores que inciden en el rendimiento escolar en Bolivia [Determinants of educational performance in Bolivia]. Revista Controversias y Consensos, 4(3). Retrieved from https://openknowledge.worldbank.org/handle/10986/2374

  53. Mizala, A., Romaguera, P., Urquiola, M., & Arias, O. (2002). Equity and educational performance [with comments]. Economia, 2, 219–273. doi:10.1353/eco.2002.0009.

    Google Scholar 

  54. Molinas Vega, J. R., Paes de Barros, R., Saavedra Chanduvi, J., Giugale, M., Cord, L. J., Pessino, C., & Hasan, A. (2012). Do our children have a chance? A human opportunity report for Latin America and the Caribbean. Washington, DC: World Bank. Retrieved from https://openknowledge.worldbank.org/handle/10986/2374

  55. Myers, S. M., & Myers, C. B. (2015). Family structure and school-based parental involvement: A family resource perspective. Journal of Family and Economic Issues, 36, 114–131. doi:10.1007/s10834-014-9409-0.

    Article  Google Scholar 

  56. Parcel, T. L., & Menaghan, E. G. (1994). Early parental work, family social capital, and early childhood outcomes. American Journal of Sociology, 99, 972–1009. Retrieved from http://www.jstor.org/stable/2781737

  57. Park, H. (2007). Single parenthood and children’s reading performance in Asia. Journal of Marriage and Family, 69, 863–877. doi:10.1111/j.1741-3737.2007.00410.x.

    Article  Google Scholar 

  58. Park, H., & Sandefur, G. D. (2006). Families, schools, and reading in Asia and Latin America. In E. Hannum & B. Fuller (Eds.), Children’s lives and schooling across societies (pp. 133–162). Bingley, UK: Emerald Group Publishing Limited.

    Google Scholar 

  59. Pong, S. L. (1996). School participation of children from single-mother families in Malaysia. Comparative Education Review, 40, 231–249. Retrieved from http://www.jstor.org/stable/1189102

  60. Popenoe, D., Elshtain, J. B., & Blankenhorn, D. (1996). Promises to keep: Decline and renewal of marriage in America. Lanham, MD: Rowman & Littlefield.

    Google Scholar 

  61. Population Reference Bureau. (2015). World Population Data Sheet. Retrieved from www.prb.org

  62. Psacharopoulos, G. (1997). Child labor versus educational attainment: Some evidence from Latin America. Journal of Population Economics10, 377–386. Retrieved from http://www.jstor.org/stable/20007555

  63. Ramírez, M. T., & Téllez, J. P. (2006). La educación primaria y secundaria en Colombia en el siglo XX [Primary and secondary education in Colombia in the twentieth century]. (Working Paper Borradoras de Economía No. 379). Retrieved from Banco de la República website: http://www.banrep.gov.co/docum/ftp/borra379.pdf

  64. Santos, D. N., Assis, A. M., Bastos, A. C., Santos, L. M., Santos, C. A., Strina, A., et al. (2008). Determinants of cognitive function in childhood: A cohort study in a middle income context. BMC Public Health,. doi:10.1186/1471-2458-8-202.

    Google Scholar 

  65. Scott, M. E., DeRose, L. F., Lippman, L. H., & Cook, E. (2013). Two, one, or no parents? Mapping family change and child well-being outcomes. Bethesda, MD: Child Trends. Retrieved from the World Family Map website: http://worldfamilymap.ifstudies.org/2013/articles/essay/two-one-or-no-parents

  66. Shriner, M., Mullis, R. L., & Shriner, B. M. (2010). Variations in family structure and school-age children’s academic achievement: A social and resource capital perspective. Marriage and Family Review, 46, 445–467. doi:10.1080/01494929.2010.528709.

    Article  Google Scholar 

  67. Sibanda, A. (2004). Who drops out of school in South Africa? The influence of individual and household characteristics. African Population Studies/Etude de la Population Africaine, 19, 99–117. Retrieved from http://www.bioline.org.br/request?ep04006

  68. Soto Quiroga, P. (2011). Education achievements in urban schools in Peru (Master’s Thesis). University College London. London, England. Retrieved from Pirhua: http://pirhua.udep.edu.pe/handle/123456789/1794

  69. Stacer, M. J., & Perrucci, R. (2013). Parental involvement with children at school, home, and community. Journal of Family and Economic Issues, 34, 340–354. doi:10.1007/s10834-012-9335-y.

    Article  Google Scholar 

  70. Townsend, N., Madhavan, S., Tollman, S., Garenne, M., & Kahn, K. (2002). Children’s residence patterns and educational attainment in rural South Africa, 1997. Population Studies, 56, 215–225. doi:10.1080/00324720215925.

    Article  Google Scholar 

  71. UNICEF. (2012). Estado mundial de la infancia 2012: Niñas y niños en un mundo urbano [The State of The World’s Children 2012: Children in an Urban World]. New York. Retrieved from http://www.unicef.org/spanish/sowc2012/pdfs/SOWC%202012%20Main%20Report%20LoRes%20PDF_SP_03132012.pdf.

  72. United Nations. (2014). The Millennium Development Goals Report 2014. New York. Retrieved from http://www.un.org/millenniumgoals/2014%20MDG%20report/MDG%202014%20English%20web.pdf.

  73. Wilcox, W., Lippman, L., Whitney, C., & Cid, A. (2009, September). Making the grade: family structure and children’s education participation in Colombia, Egypt, India, Kenya, Peru and Uruguay. Paper presented at the XXVI IUSSP International Population Conference, Marrakech, Morocco. Retrieved from https://mpra.ub.uni-muenchen.de/39906/

  74. Willms, J. D., & Somer, M. A. (2001). Family, classroom, and school effects on children’s educational outcomes in Latin America. School Effectiveness and School Improvement, 12, 409–445. doi:10.1076/sesi.12.4.409.3445.

    Article  Google Scholar 

  75. Woessmann, L. (2010). Families, schools and primary-school learning: Evidence for Argentina and Colombia in an international perspective. Applied Economics, 42, 2645–2665. doi:10.1080/00036840801964617.

    Article  Google Scholar 

  76. World Bank. (2014). World Development Indicators. Retrieved from http://data.worldbank.org/indicator/NY.GNP.MKTP.PP.CD

  77. World Family Map. (2015). World Family Indicators. Retrieved from http://worldfamilymap.ifstudies.org/2015/articles/world-family-indicators/

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DeRose, L.F., Huarcaya, G., Salazar-Arango, A. et al. Children’s Living Arrangements and On-time Progression Through School in Latin America and the Caribbean. J Fam Econ Iss 38, 184–203 (2017). https://doi.org/10.1007/s10834-016-9502-7

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Keywords

  • Family instability
  • Education
  • Latin America and the Caribbean
  • Stepfamilies
  • Single motherhood
  • Children’s living arrangements
  • Father absence