Demography

, Volume 48, Issue 3, pp 915–930 | Cite as

Education and Male-Female Differences in Later-Life Cognition: International Evidence From Latin America and the Caribbean

Article

Abstract

This study explores the role of early-life education for differences in cognitive functioning between men and women aged 60 and older from seven major urban areas in Latin America and the Caribbean. After documenting statistically significant differences in cognitive functioning between men and women for six of the seven study sites, I assess the extent to which these differences can be explained by prevailing male-female differences in education. I decompose predicted male-female differences in cognitive functioning based on various statistical models for later-life cognition and find robust evidence that male-female differences in education are a major driving force behind cognitive functioning differences between older men and women. This study therefore suggests that early-life differences in educational attainment between boys and girls during childhood have a lasting impact on gender inequity in cognitive functioning at older ages. Increases in educational attainment and the closing of the gender gap in education in many countries in Latin America and the Caribbean may thus result in both higher levels and a more gender-equitable distribution of later-life cognition among the future elderly in those countries.

Keywords

Education Later-life cognition Male-female differences Oaxaca-Blinder decomposition Latin America and the Caribbean 

References

  1. Alley, D., Suthers, K., & Crimmins, E. (2007). Education and cognitive decline in older Americans. Research on Aging, 29, 73–94.CrossRefGoogle Scholar
  2. Banks, J., & Oldfield, Z. (2007). Understanding pensions: Cognitive function, numerical ability and retirement saving. Fiscal Studies, 28, 143–170.CrossRefGoogle Scholar
  3. Blinder, A. S. (1973). Wage discrimination: Reduced form and structural estimates. Journal of Human Resources, 8, 436–455.CrossRefGoogle Scholar
  4. Brunner, E. (2005). Social and biological determinants of cognitive aging. Neurobiology of Aging, 26S, S17–S20.CrossRefGoogle Scholar
  5. Cagney, K. A., & Lauderdale, D. S. (2002). Education, wealth, and cognitive function in later life. Journal of Gerontology: Psychological Sciences, 57B, P163–P172.CrossRefGoogle Scholar
  6. Case, A., & Paxson, C. (2008). Height, health and cognitive function at older ages. American Economic Review, Papers and Proceedings, 98, 463–467.CrossRefGoogle Scholar
  7. Christensen, H., Jorm, A., Henderson, A., MacKinnon, A., Korten, A., & Scott, R. (1994). The relationship between health and cognitive functioning in a sample of elderly people in the community. Age and Ageing, 23, 204–212.CrossRefGoogle Scholar
  8. Christensen, H., Korten, A., Jorm, A., Henderson, A., Scott, R., & MacKinnon, A. (1996). Activity levels and cognitive functioning in an elderly community sample. Age and Ageing, 25, 72–80.CrossRefGoogle Scholar
  9. Diamond, M. (1988). Enriching heredity: The impact of the environment on the anatomy of the brain. New York: Free.Google Scholar
  10. Duryea, S., Galiani, S., Ñopo, H., & Piras, C. (2007). The educational gender gap in Latin America and the Caribbean (Inter-American Development Bank WP 600). Washington, DC: Inter-American Development Bank.Google Scholar
  11. Finkel, D., Andel, R., Gatz, M., & Pedersen, N. (2009). The role of occupational complexity in trajectories of cognitive aging before and after retirement. Psychology and Aging, 24, 563–573.CrossRefGoogle Scholar
  12. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). “Mini-mental State”: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189–198.CrossRefGoogle Scholar
  13. Fratiglioni, L., Paillard-Borg, S., & Winblad, B. (2004). An active and socially integrated lifestyle in late life might protect against dementia. Lancet Neurology, 3, 343–353.CrossRefGoogle Scholar
  14. Hinkin, C., Castellon, S., Durvasula, R., Hardy, D., Lam, M., Mason, K., . . . Stefaniak, M. (2002). Medication adherence among HIV+ adults: Effects of cognitive dysfunction and regimen complexity. Neurology, 59, 1944–1950.Google Scholar
  15. Jann, B. (2008a). The Blinder-Oaxaca decomposition for linear regression models. Stata Journal, 8, 453–479.Google Scholar
  16. Jann, B. (2008b). Oaxaca8: Stata module to compute decompositions of outcome differentials. Retrieved from http://ideas.repec.org/c/boc/bocode/s450604.html
  17. Kalmijn, S., van Boxtel, M., Verschuren, M., Jolles, J., & Launer, L. (2002). Cigarette smoking and alcohol consumption in relation to cognitive performance. American Journal of Epidemiology, 156, 936–944.CrossRefGoogle Scholar
  18. Laurin, D., Verreault, R., Lindsay, J., MacPherson, K., & Rockwood, K. (2001). Physical activity and risk of cognitive impairment and dementia in elderly persons. Archives of Neurology, 58, 498–504.CrossRefGoogle Scholar
  19. Lee, S., Kawachi, I., Berkman, L. F., & Grodstein, F. (2003). Education, other socioeconomic indicators, and cognitive function. American Journal of Epidemiology, 157, 712–720.CrossRefGoogle Scholar
  20. Lichtenberg, P., Ross, T., Millis, C., & Manning, C. (1995). The relationship between depression and cognition in older adults: A cross-validation study. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 50, P25–P32.CrossRefGoogle Scholar
  21. National Research Council (2000). P. C. Stern & L. L. Carstensen (Eds.), The aging mind: Opportunities in cognitive research. Committee on Future Directions for Cognitive Research on Aging, Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.Google Scholar
  22. Neumark, D. (1988). Employers’ discriminatory behavior and the estimation of wage discrimination. Journal of Human Resources, 23, 279–295.CrossRefGoogle Scholar
  23. Oaxaca, R. (1973). Male-female wage differentials in urban labor markets. International Economic Review, 14, 693–709.CrossRefGoogle Scholar
  24. Oaxaca, R., & Ransom, M. (1994). On discrimination and the decomposition of wage differentials. Journal of Econometrics, 61, 5–21.CrossRefGoogle Scholar
  25. Pelaez, M., Palloni, A., Albala, C., Alfonso, J., Ham-Chande, R., Hennis, A., Prats, O. (2005). SABE—Survey on Health, Well-being, and Aging in Latin America and the Caribbean, 2000 [Computer file] [ICPSR version]. Washington, DC: Pan American Health Organization/World Health Organization (PAHO/WHO) [producers], 2004. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor].Google Scholar
  26. Pfeffer, R., Kurosaki, T., Harrah, C., Chance, J., & Filos, S. (1982). Measurement of functional activities in older adults in the community. Journal of Gerontology, 37, 323–329.Google Scholar
  27. Reimers, C. (1983). Labor market discrimination against Hispanic and black men. The Review of Economics and Statistics, 65, 570–579.CrossRefGoogle Scholar
  28. Richards, M., & Deary, I. (2005). A life course approach to cognitive reserve: A model for cognitive aging and development? Annals of Neurology, 58, 617–622.CrossRefGoogle Scholar
  29. Richards, M., & Sacker, A. (2003). Lifetime antecedents of cognitive reserve. Journal of Clinical and Experimental Neuropsychology, 25, 614–624.CrossRefGoogle Scholar
  30. Richards, M., Shipley, B., Fuhrer, R., & Wandsworth, M. (2004). Cognitive ability in childhood and cognitive decline in mid-life: Longitudinal Birth Cohort Study. British Medical Journal, 328, 552–557.CrossRefGoogle Scholar
  31. Schooler, C., & Mulatu, M. (2001). The reciprocal effects of leisure time activities and intellectual functioning in older people: A longitudinal analysis. Psychology and Aging, 16, 466–482.CrossRefGoogle Scholar
  32. Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8, 448–460.CrossRefGoogle Scholar
  33. Tuong Nguyen, C., Couture, M.-C., Alvarado, B., & Zunzunegui, M. (2008). Life course socioeconomic disadvantage and cognitive function among the elderly population of seven capitals in Latin America and the Caribbean. Journal of Aging and Health, 20, 347–362.CrossRefGoogle Scholar
  34. Whalley, L., Deary, I., Appleton, C., & Starr, J. (2004). Cognitive reserve and the neurobiology of cognitive aging. Ageing Research Reviews, 3, 369–382.CrossRefGoogle Scholar
  35. Wooldridge, J. (2001). Econometric analysis of cross section and panel data. Cambridge, MA: MIT.Google Scholar
  36. Yount, K. M. (2008). Gender, resources across the life course, and cognitive functioning in Egypt. Demography, 45, 907–926.CrossRefGoogle Scholar
  37. Zelinski, E., Crimmins, E., Reynolds, S., & Seeman, T. (1998). Do medical conditions affect cognition in older adults? Health Psychology, 17, 504–512.CrossRefGoogle Scholar

Copyright information

© Population Association of America 2011

Authors and Affiliations

  1. 1.Institute of Health Economics and ManagementUniversity of LausanneLausanneSwitzerland

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