International Statistical Review

Probabilistic Population Projections for India with Explicit Consideration of the Education- Fertility Link

Wolfgang Lutz and Sergei Scherbov

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Abstract

Among the different sources of uncertainty in population forecasting, uncertain changes in the structure of heterogeneous populations have received little attention so far, although they can have significant impacts. Here we focus on the effect of changes in the educational composition of the population on the overall fertility of the population in the presence of strong fertility differentials by education. With data from India we show that alternative paths of future female enrolment in education result in significantly different total fertility rates (TFR) for the country over the coming decades, even assuming identical fertility trends within each education group. These results from multi-state population projections by education are then translated into a fully probabilistic population projection for India in which the results of alternative education scenarios are assumed to expand the uncertainty range of the future TFR in the total population.

This first attempt to endogenize structural change with respect to education-which is the greatest measurable source of fertility heterogeneity in Asia-has resulted from a larger exercise of the Asian MetaCentre for Population and Sustainable Development Analysis to collect empirical information, scientific arguments as well as informed opinions about likely future population trends in Asia from a large number of population experts in the region. In this process, future changes in the educational composition of the population have been identified as a key driver of future fertility.

The actual probabilistic population projections for India show that with high certainty, the Indian population will continue to grow to about 1.3 billion over the next quarter of a century. After that the uncertainty will get much wider, ranging from a continued strong increase to the beginning of a population decline in India.

Article information

Source
Internat. Statist. Rev., Volume 72, Number 1 (2004), 81-92.

Dates
First available in Project Euclid: 15 March 2004

Permanent link to this document
https://projecteuclid.org/euclid.isr/1079360115

Zentralblatt MATH identifier
1330.62438

Keywords
India Population Education Projections Uncertainty

Citation

Lutz, Wolfgang; Scherbov, Sergei. Probabilistic Population Projections for India with Explicit Consideration of the Education- Fertility Link. Internat. Statist. Rev. 72 (2004), no. 1, 81--92. https://projecteuclid.org/euclid.isr/1079360115


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References

  • [1] Cao, G.-y. & Lutz, W. (2004). China's future urban and rural population by level of education. In The End of World Population Growth in the 21st Century: New Challenges for Human Capital Formation and Sustainable Development, Eds. W. Lutz and W.C. Sanderson. London: Earthscan.
  • [2] Lutz, W. & Goujon, A. (2001). The world's changing human capital stock: Multi-state population projections by educational attainment. Population and Development Review, 27(2), 323-339.
  • [3] Lutz, W., Sanderson, W.C. & Scherbov, S. (1999). Expert-based probabilistic population projections. In Frontiers of Population Forecasting. A Supplement to Vol. 24, 1998, Population and Development Review, Eds. W. Lutz, J.W. Vaupel and D.A. Ahlburg, pp. 139-155. New York: The Population Council.
  • [4] Lutz, W., Sanderson, W.C. & Scherbov, S. (2001). The end of world population growth. Nature, 412, 543-545.
  • [5] Lutz, W., Sanderson, W.C. & Scherbov, S. (2003). The end of population growth in Asia. Journal of Population Research, 20(1), 125-141.
  • [6] Lutz, W., Sanderson, W.C. & Scherbov, S. (2004). The end of world population growth. In The End of World Population Growth in the 21st Century: New Challenges for Human Capital Formation and Sustainable Development, Eds. W. Lutz and W.C. Sanderson. London: Earthscan.
  • [7] Lutz, W. & Scherbov, S. (2003). Toward Structural and Argument-Based Probabilistic Population Projections in Asia: Endogenizing the Education-Fertility Links. Interim Report IR-03-014. Laxenburg, Austria: International Institute for Applied Systems Analysis.