Analysis of Fertility

  • Gordon A. Carmichael
Chapter
Part of the The Springer Series on Demographic Methods and Population Analysis book series (PSDE, volume 38)

Abstract

The analysis of human fertility is of central importance in demographic analysis. In the first place, births are a vital component of the population balancing equation introduced in Chap.  1, and thus a vital element in the study of population change. More particularly they are, on a world scale, the single growth element in the balancing equation, and concern over population growth arguably has been the main stimulus to demography’s development as a discipline. Efforts to slow population growth typically concentrate on attempting to reduce fertility. Deliberately increasing mortality is not an acceptable option, and while restricting immigration sometimes offers short-term potential, promoting emigration usually is neither a feasible nor a long-term solution either. The need to monitor efforts to reduce population growth by reducing fertility highlights the importance of being able to measure fertility, fertility change, and the sources of that change.

Keywords

Birth Interval Marital Fertility Crude Birth Rate Natural Fertility Marriage Cohort 
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References

  1. Bogue, D. J. (1993). Introduction to pregnancy/birth interval analysis. In D. J. Bogue, E. E. Arriarga, & D. L. Anderton (Eds.), Readings in population research methodology (Vol. 3, pp. 10-59–10-64). Chicago: Social Development Center for UNFPA.Google Scholar
  2. Bongaarts, J., & Potter, R. G. (1983). Fertility, biology, and behavior: An analysis of the proximate determinants. New York: Academic.Google Scholar
  3. Carmichael, G. A. (1986). Birth order in Australian vital statistics. Journal of the Australian Population Association, 3(1), 27–39.Google Scholar
  4. Carmichael, G. A. (2013). Estimating paternity in Australia, 1976–2010. Fathering, 11(3), 256–279.CrossRefGoogle Scholar
  5. Coale, A. J., & Trussell, T. J. (1974). Model fertility schedules: Variations in the age structure of childbearing in human populations. Population Index, 40(2), 185–258.CrossRefGoogle Scholar
  6. Coale, A. J., & Trussell, T. J. (1975). Erratum to Coale and Trussell (1974). Population Index, 41(4), 572.Google Scholar
  7. Corr, P., & Kippen, R. (2006). The case for parity and birth order statistics. Australian and New Zealand Journal of Statistics, 48(2), 171–200.CrossRefGoogle Scholar
  8. Davis, K., & Blake, J. (1956). Social structure and fertility: An analytic framework. Economic Development and Cultural Change, 4(3), 211–235.CrossRefGoogle Scholar
  9. Feeney, G. (1983). Population dynamics based on birth intervals and parity progression. Population Studies, 37(1), 75–89.CrossRefGoogle Scholar
  10. Henry, L. (1961). Some data on natural fertility. Eugenics Quarterly, 8, 81–91.CrossRefGoogle Scholar
  11. Henry, L. (1976). Population analysis and models. London: Edward Arnold.Google Scholar
  12. Jones, E. F. (1971). Fertility decline in Australia and New Zealand 1861–1936. Population Index, 37(4), 301–338.CrossRefGoogle Scholar
  13. McDonald, P. (1990). The 1980s: Social and economic change affecting families. Family Matters, 26, 13–18.Google Scholar
  14. Newell, C. (1988). Methods and models in demography. London: Belhaven Press.Google Scholar
  15. Pressat, R. (1972). Demographic analysis: Methods, results, applications. London: Edward Arnold.Google Scholar
  16. Shryock, H. S., Siegel, J. S., & Associates. (1973). The methods and materials of demography. 2nd Printing (revised). Washington, DC: U.S. Bureau of the Census.Google Scholar
  17. United Nations. (1983). Manual X. Indirect techniques for demographic estimation. ST/ESA/SER.A/81. New York: United Nations. Available online at http://www.un.org/esa/population/techcoop/DemEst/manual10/manual10.html. Accessed 26 July 2013.
  18. World Health Organization. (1993). International statistical classification of diseases and related health problems (Tenth Revision, Vol. 2). Geneva: WHO.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Gordon A. Carmichael
    • 1
  1. 1.School of DemographyAustralian National UniversityCanberraAustralia

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