, Volume 49, Issue 2, pp 607–627 | Cite as

Estimating Mortality Differences in Developed Countries From Survey Information on Maternal and Paternal Orphanhood

  • Marc LuyEmail author


In general, the use of indirect methods is limited to developing countries. Developed countries are usually assumed to have no need to apply such methods because detailed demographic data exist. However, the potentialities of demographic analysis with direct methods are limited to the characteristics of available macro data on births, deaths, and migration. For instance, in many Western countries, official population statistics do not permit the estimation of mortality by socioeconomic status (SES) or migration background, or for estimating the relationship between parity and mortality. In order to overcome these shortcomings, I modify and extend the so-called orphanhood method for indirect estimation of adult mortality from survey information on maternal and paternal survival to allow its application to populations of developed countries. The method is demonstrated and tested with data from two independent Italian cross-sectional surveys by estimating overall and SES-specific life expectancy. The empirical applications reveal that the proposed method can be used successfully for estimating levels and trends of mortality differences in developed countries and thus offers new prospects for the analysis of mortality.


Mortality Mortality differences Life expectancy Indirect estimation techniques Orphanhood method 



I thank Paola Di Giulio for preparing the data of the Italian multipurpose surveys and for running specific computer programs; Graziella Caselli and Griffith Feeney for fruitful discussions; and two anonymous reviewers for their careful reading and very helpful comments and suggestions on earlier versions of this article.


  1. Bobak, M., Murphy, M., Pikhart, H., Martikainen, P., Rose, R., & Marmot, M. (2002). Mortality patterns in the Russian federation: Indirect technique using widowhood data. Bulletin of the World Health Organization, 80, 876–881.Google Scholar
  2. Bobak, M., Murphy, M., Rose, R., & Marmot, M. (2003). Determinants of adult mortality in Russia. Estimates from sibling data. Epidemiology, 14, 603–611.CrossRefGoogle Scholar
  3. Bradshaw, D., & Timæus, I. M. (2006). Levels and trends of adult mortality. In D. T. Jamison, R. G. Feachem, M. W. Makgoba, E. R. Bos, F. K. Baingana, K. J. Hofman, & K. O. Rogo (Eds.), Disease and mortality in Sub-Saharan Africa (pp. 31–42). Washington, DC: World Bank.Google Scholar
  4. Brass, W. (1971). On the scale of mortality. In W. Brass (Ed.), Biological aspects of demography (pp. 69–110). London, UK: Taylor and Francis.Google Scholar
  5. Brass, W. (1975). Methods for estimating fertility and mortality from limited and defective data. Chapel Hill: University of North Carolina.Google Scholar
  6. Brass, W. (1981). The use of the Gompertz relational model to estimate fertility. In International Union for the Scientific Study of Population (IUSSP) (Ed.), International Population Conference, Manila 1981. Solicited papers (pp. 345–362). Liège, Belgium: IUSSP.Google Scholar
  7. Brass, W., & Bamgboye, E. A. (1981). The time location of reports of survivorship: Estimates for maternal and paternal orphanhood and the ever-widowed (Working Paper No. 81–1). London, UK: London School of Hygiene & Tropical Medicine, Centre for Population Studies.Google Scholar
  8. Brass, W., & Hill, K. (1973). Estimating adult mortality from orphanhood. In International Union for the Scientific Study of Population (IUSSP) (Ed.), Proceedings of the International Population Conference, Liège 1973 (pp. 111–123). Liège, Belgium: IUSSP.Google Scholar
  9. Butt, S., Borgquist, S., Garne, J. P., Landberg, G., Tengrup, I., Olsson, Å., & Manjer, J. (2009). Parity in relation to survival following breast cancer. European Journal of Surgical Oncology, 35, 702–708.CrossRefGoogle Scholar
  10. Caselli, G., & Vallin, J. (2006). Population replacement. In G. Caselli, J. Vallin, & G. Wunsch (Eds.), Demography: Analysis and synthesis (Vol. I, pp. 237–247). London, UK: Academic Press.Google Scholar
  11. Chackiel, J., & Orellana, H. (1985). Adult female mortality trends from retrospective questions about maternal orphanhood included in censuses and surveys. In International Union for the Scientific Study of Population (IUSSP) (Ed.), IUSSP International Population Conference, Florence 1985 (Vol. 4, pp. 39–51). Liège, Belgium: IUSSP.Google Scholar
  12. Crimmins, E. M., & Saito, Y. (2001). Trends in healthy life expectancy in the United States, 1970–1990: Gender, racial, and educational differences. Social Science & Medicine, 52, 1629–1641.CrossRefGoogle Scholar
  13. Deboosere, P., Gadeyne, S., & Van Oyen, H. (2009). The 1991–2004 evolution in life expectancy by educational level in Belgium based on linked census and population register data. European Journal of Population, 25, 175–196.CrossRefGoogle Scholar
  14. Doblhammer, G. (2000). Reproductive history and mortality in later life: A comparative study of England and Wales and Austria. Population Studies, 54, 169–176.CrossRefGoogle Scholar
  15. Festy, P. (1995). Adult mortality and proportions orphaned in Austria in 1991. Population: An English Selection, 7, 232–238.Google Scholar
  16. Friedlander, N. J. (1996). The relation of lifetime reproduction to survivorship in women and men: A prospective study. American Journal of Human Biology, 8, 771–783.CrossRefGoogle Scholar
  17. Goldman, N., & Hu, Y. (1993). Excess mortality among the unmarried: A case study of Japan. Social Science & Medicine, 36, 533–546.CrossRefGoogle Scholar
  18. Green, A., Beral, V., & Moser, K. (1988). Mortality in women in relation to their childbearing history. British Medical Journal, 297, 391–395.CrossRefGoogle Scholar
  19. Grundy, E., & Kravdal, Ø. (2010). Fertility history and cause-specific mortality: A register-based analysis of complete cohorts of Norwegian women and men. Social Science & Medicine, 70, 1847–1857.CrossRefGoogle Scholar
  20. Grundy, E., & Tomassini, C. (2005). Fertility history and health in later life: A record linkage study in England and Wales. Social Science & Medicine, 61, 217–228.CrossRefGoogle Scholar
  21. Henry, L. (1960). Mesure indirecte de la mortalité des adultes [Indirect measurement of adult mortality]. Population, 15, 457–466.CrossRefGoogle Scholar
  22. Hill, K. (1984). An evaluation of indirect methods for estimating mortality. In J. Vallin, J. H. Pollard, & L. Heligman (Eds.), Methodologies for the collection and analysis of mortality data (pp. 145–177). Liège, Belgium: Ordina Editions.Google Scholar
  23. Hill, K. (2001, August). Methods for measuring adult mortality in developing countries: A comparative review. Paper presented at the XXIV IUSSP General Conference, Salvador, Brazil. Retrieved from
  24. Hill, K. (2006). Indirect estimation methods. In G. Caselli, J. Vallin, & G. Wunsch (Eds.), Demography: Analysis and synthesis (Vol. IV, pp. 619–631). London, UK: Academic Press.Google Scholar
  25. Hill, K., Choi, Y., & Timæus, I. M. (2005). Unconventional approaches to mortality estimation. Demographic Research, 13, article 12, 281–300. doi: 10.4054/DemRes.2005.13.12
  26. Hill, K., & Trussell, J. (1977). Further developments in indirect mortality estimation. Population Studies, 31, 313–334.CrossRefGoogle Scholar
  27. Hill, K., Zlotnik, H., & Trussell, J. (1983). Manual X. Indirect techniques for demographic estimation. New York: United Nations.Google Scholar
  28. Hu, Y., & Goldman, N. (1990). Mortality differentials by marital status: An international comparison. Demography, 27, 233–250.CrossRefGoogle Scholar
  29. Human Mortality Database (2009). University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Retrieved from or (data downloaded on 07-31-2009)
  30. Hurt, L. S., Ronsmans, C., & Thomas, S. L. (2006). The effect of number of births on women’s mortality: Systematic review of the evidence for women who have completed their childbearing. Population Studies, 60, 55–71.CrossRefGoogle Scholar
  31. Istat (2001). La mortalità differenziale secondo alcuni fattori socio-demografici, anni 1991–1992 [Differential mortality by some socio-demographic characteristics, 1991–1992]. Rome, Italy: Istat.Google Scholar
  32. Kitagawa, E. M., & Hauser, P. M. (1973). Differential mortality in the United States: A study in socioeconomic epidemiology (Vital and Health Statistics Monographs). Cambridge, MA: Harvard University Press.Google Scholar
  33. Kvåle, G., Heuch, I., & Nilssen, S. (1994). Parity in relation to mortality and cancer incidence: A prospective study of Norwegian women. International Journal of Epidemiology, 23, 691–699.CrossRefGoogle Scholar
  34. Le Bourg, É. (2007). Does reproduction decrease longevity in human beings? Ageing Research Reviews, 6, 141–149.CrossRefGoogle Scholar
  35. Lotka, A. J. (1939). Théorie analytique des associations biologiques. Deuxième partie [Analytical theory of biological associations. Part two]. Paris, France: Hermann et Cie.Google Scholar
  36. Lund, E., Arnesen, E., & Borgan, J.-K. (1990). Pattern of childbearing and mortality in married women—A national prospective study from Norway. Journal of Epidemiology and Community Health, 44, 237–240.CrossRefGoogle Scholar
  37. Luy, M., Di Giulio, P., & Caselli, G. (2011). Differences in life expectancy by education and occupation in Italy, 1980–94: Indirect estimates from maternal and paternal orphanhood. Population Studies, 65, 137–155.CrossRefGoogle Scholar
  38. Molla, M. T., Madans, J. H., & Wagener, D. K. (2004). Differentials in adult mortality and activity limitation by years of education in the United States at the end of the 1990s. Population and Development Review, 30, 625–646.CrossRefGoogle Scholar
  39. Murphy, M., Bobak, M., Nicholson, A., Rose, R., & Marmot, M. (2006). The widening gap in mortality by educational level in the Russian Federation, 1980–2001. American Journal of Public Health, 96, 1293–1299.CrossRefGoogle Scholar
  40. Ngom, P., & Bawah, A. A. (2004). INDEPTH model life tables for sub-Saharan Africa. Aldershot, Burlington: Ashgate.Google Scholar
  41. Nicholson, A., Bobak, M., Murphy, M., Rose, R., & Marmot, M. (2005). Alcohol consumption and increased mortality in Russian men and women: A cohort study based on the mortality of relatives. Bulletin of the World Health Organization, 83, 812–819.Google Scholar
  42. Palloni, A., Massagli, M., & Marcotte, J. (1984). Estimating adult mortality with maternal orphanhood data: Analysis of sensitivity of the techniques. Population Studies, 38, 255–279.Google Scholar
  43. Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and modeling population processes. Oxford, UK: Blackwell.Google Scholar
  44. Rogers, R. G. (1995). Marriage, sex, and mortality. Journal of Marriage and the Family, 57, 515–526.CrossRefGoogle Scholar
  45. Schmertmann, C. P. (2003). A system of model fertility schedules with graphically intuitive parameters. Demographic Research, 9, article 5, 81–110. doi: 10.4054/DemRes.2003.9.5
  46. Shkolnikov, V. M., Andreev, E. M., Jasilionis, D., Leinsalu, M., Antonova, O. I., & McKee, M. (2006). The changing relation between education and life expectancy in central and eastern Europe in the 1990s. Journal of Epidemiology and Community Health, 60, 875–881.CrossRefGoogle Scholar
  47. Spence, N. J., & Eberstein, I. W. (2009). Age at first union, parity, and post-reproductive mortality among white and black women in the US, 1982–2002. Social Science & Medicine, 68, 1625–1632.CrossRefGoogle Scholar
  48. Stewart, Q. T. (2004). Brass’ relational model: A statistical analysis. Mathematical Population Studies, 11, 51–72.CrossRefGoogle Scholar
  49. Timæus, I. M. (1986). An assessment of methods for estimating adult mortality from two sets of data on maternal orphanhood. Demography, 23, 435–450.CrossRefGoogle Scholar
  50. Timæus, I. M. (1991a). Estimation of adult mortality from orphanhood before and since marriage. Population Studies, 45, 455–472.CrossRefGoogle Scholar
  51. Timæus, I. M. (1991b). Estimation of adult mortality from orphanhood in adulthood. Demography, 28, 213–227.CrossRefGoogle Scholar
  52. Timæus, I. M. (1991c). Measurement of adult mortality in less developed countries: A comparative review. Population Index, 57, 552–568.CrossRefGoogle Scholar
  53. Timæus, I. M. (1992). Estimation of adult mortality from paternal orphanhood: A reassessment and a new approach. Population Bulletin of the United Nations, 33, 47–63.Google Scholar
  54. Timæus, I. M., & Graham, W. (1989). Measuring adult mortality in developing countries. A review and assessment of methods (Policy, Planning, and Research Working Papers WPS 155). Washington, DC: World Bank.Google Scholar
  55. Timæus, I. M., & Nunn, A. J. (1997). Measurement of adult mortality in populations affected by AIDS: An assessment of the orphanhood method. Health Transitions Review, 7(Suppl. 2), 23–43.Google Scholar
  56. United Nations (2002). Methods for estimating adult mortality. New York: United Nations. Retrieved from
  57. United Nations (2006). World population prospects. The 2004 revision. Volume III: Analytical report. New York: United Nations.Google Scholar
  58. Valkonen, T. (2006). Social inequalities in mortality. In G. Caselli, J. Vallin, & G. Wunsch (Eds.), Demography: Analysis and synthesis (Vol. II, pp. 195–206). London, UK: Academic Press.Google Scholar
  59. Zlotnik, H., & Hill, K. (1981). The use of hypothetical cohorts in estimating demographic parameters under conditions of changing fertility and mortality. Demography, 18, 103–122.CrossRefGoogle Scholar

Copyright information

© Population Association of America 2012

Authors and Affiliations

  1. 1.Vienna Institute of DemographyAustrian Academy of SciencesViennaAustria

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