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Part of the book series: The Springer Series on Demographic Methods and Population Analysis ((PSDE,volume 38))

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Abstract

Population projection was mentioned briefly in Chap. 4 when in Fig. 4.8 a Lexis-type diagram was presented to illustrate how projecting a population n-years into the future entailed (in part) forward survival of both the population at the beginning of the projection period and the births that would occur during the projection period. Population projection is arguably the most marketable skill demographers have – their bread and butter, widely assumed by potential employers to be their core business. It is fundamental to what is often termed ‘applied demography’ (Rowland 2003), defined by Siegel (2001: 2) as ‘the sub-field of demography concerned with the application of the materials and methods of demography to the analysis and solution of the problems of business, private non-profit organizations, and governments, at the local, national, and international levels, with a primary orientation toward particular areas and the present and future.’ National statistical agencies, businesses and planning agencies at various levels from national through regional to local government recruit demographers first and foremost with an expectation that they will be skilled in preparing and/or making intelligent use of population projections. The provision of all manner of services and facilities is dependent on quality estimates of future demographic trends at all levels, from national to local, to ensure to the maximum extent possible that they are provided on time, in sufficient quantity and where, geographically, they are needed. Businesses also have a major interest in population projections as they plan the marketing of their products and the locations of their activities. And government policy formulation in areas like immigration, housing, education and ageing is underpinned by population projections.

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References

  • Beers, H. S. (1944). Six-term formulas for routine actuarial interpolation. The Record of the American Institute of Actuaries, 33 Part II (68), 245–260.

    Google Scholar 

  • Beers, H. S. (1945). Discussion of papers presented in the Record, No. 68: ‘Six-term formulas for routine actuarial interpolation’ by Henry S. Beers. The Record of the American Institute of Actuaries, 34 Part I (69), 59–60.

    Google Scholar 

  • Box, G. E. P., & Jenkins, G. M. (1970). Time series analysis: Forecasting and control. San Francisco: Holden-Day.

    Google Scholar 

  • Cannan, E. (1895). The probability of the cessation of the growth of population in England and Wales during the next century. The Economic Journal, 5, 506–515.

    Google Scholar 

  • George, M. V., Smith, S. K., Swanson, D. A., & Tayman, J. (2004). Population projections. In D. A. Swanston, J. S. Siegel, & H. S. Shryock (Eds.), The methods and materials of demography (pp. 561–601). San Diego: Elsevier Academic Press.

    Google Scholar 

  • Hinde, A. (1998). Demographic methods. London: Arnold.

    Google Scholar 

  • Keyfitz, N. (1987). The social and political context of population forecasting. In W. Alonso & P. Starr (Eds.), The politics of numbers (pp. 235–258). New York: Russell Sage.

    Google Scholar 

  • Lutz, W. (1996). The future population of the world: What can we assume today? London: Earthscan Publication Limited.

    Google Scholar 

  • McCleary, R., & Hay, R. A. (1980). Applied time series analysis for the social sciences. Beverly Hills: Sage.

    Google Scholar 

  • Notestein, F. W. (1945). Population: The long view. In T. W. Shultz (Ed.), Food for the World (pp. 36–69). Chicago: University of Chicago Press.

    Google Scholar 

  • O’Neill, B. C., Balk, D., Melanie, B., & Ezra, M. (2001). A guide to global population projections. Demographic Research, 4(8), 203–288.

    Article  Google Scholar 

  • Preston, S. H., Heuveline, P., & Guillot, M. (2001). Demography: Measuring and modelling population processes. Oxford: Blackwell.

    Google Scholar 

  • Rogers, A. (1985). Regional population projection methods. Beverly Hills: Sage.

    Google Scholar 

  • Rogers, A. (1995). Multiregional demography: Principles, methods and extensions. Chichester: Wiley.

    Google Scholar 

  • Rowland, D. T. (2003). Demographic methods and concepts. Oxford/New York: Oxford University Press.

    Google Scholar 

  • Siegel, J. S. (2001). Applied demography. San Diego: Academic.

    Google Scholar 

  • Smith, S. K., Tayman, J., & Swanson, D. A. (2001). State and local population projections: Methodology and analysis. New York: Kluwer Academic/Plenum Publishers.

    Google Scholar 

  • Stover, J. & Kirmeyer, S. (2007). DemProj version 4: A computer program for making population projections. Washington, DC: USAID. Available online at http://data.unaids.org/pub/Manual/2007/demproj_2007_en.pdf. Accessed 7 Nov 2014.

  • United Nations. (1982). A user’s manual to the population projection computer programme of the population division of the United Nations. ESA/P/WP.77, New York: United Nations.

    Google Scholar 

  • United Nations. (1988). MortPak: The United Nations software package for mortality measurement: Batch-oriented software for the mainframe computer. ST/ESA/SER.R/78, New York: United Nations. Available online at http://www.un.org/esa/population/publications/MortPak_SoftwarePkg/MortPak_SoftwarePkg.htm. Accessed 25 Oct 2014.

  • United Nations. (1990). MortPak and MortPak-Lite upgrades: Version 3.0 of the United Nations software packages for mortality measurement. ST/ESA/SER.A/117, New York: United Nations.

    Google Scholar 

  • United Nations. (2013). MortPak for Windows (Version 4.3). POP/SW/MORTPAK/2003, New York: United Nations. Available online at http://www.un.org/en/development/desa/population/publications/pdf/mortality/mortpak_manual.pdf. Accessed 25 Oct 2014.

  • United Nations. (2014). World population prospects – The 2012 revision: Methodology of the United Nations population estimates and projections. New York: United Nations. Available online at http://esa.un.org/unpd/wpp/Documentation/pdf/WPP2012_Methodology.pdf. Accessed 7 Nov 2014.

  • USAID. (2008). DemProj: A computer program for making population projections. Washington, DC: USAID. Available online at http://www.healthpolicyinitiative.com/Publications/Documents/1255_1_DemmanE.pdf. Accessed 16 Aug 2014.

  • Whelpton, P. (1928). Population of the United States, 1925 to 1975. American Journal of Sociology, 34, 253–270.

    Article  Google Scholar 

  • Whelpton, P. (1936). An empirical method for calculating future population. Journal of the American Statistical Association, 31, 457–473.

    Article  Google Scholar 

  • Willekens, F. J. (1990). Demographic forecasting: State-of-the-art and research needs. In C. Hazeu & G. Frinking (Eds.), Emerging issues in demographic research (pp. 9–66). Amsterdam: Elsevier Science.

    Google Scholar 

  • Wilson, T. (2011). A review of sub-regional population projection methods. Queensland Centre for Population Research, University of Queensland. Available online at http://gpem.uq.edu.au/SubRegionalProjectionMethodsReview.pdf. Accessed 20 Jan 2015.

  • Wilson, T. (2014). New evaluations of simple models for small area population forecasts. Population, Space and Place. doi:10.1002/psp.1847.

    Google Scholar 

  • Wilson, T., & Rees, P. (2005). Recent developments in population projection methodology: A review. Population, Space and Place, 11, 337–360.

    Article  Google Scholar 

Bibliography

  • Ezzati, M., Hoorn, V., Stephen, L., Alan, D., Danaei, G., Rodgers, A., Mathers, C. D., & Murray, C. J. L. (2006). Comparative quantification of mortality and burden of disease attributable to selected risk factors. In A. D. Lopez, C. D. Mathers, M. Ezzati, D. T. Jamison, & C. J. L. Murray (Eds.), Global burden of disease and risk factors (pp. 241–396). Washington, DC: The World Bank/Oxford University Press.

    Google Scholar 

  • Hawthorn, G. (1970). The sociology of fertility. London: Collier-Macmillan.

    Google Scholar 

  • Keyfitz, N. (1966). A life table that agrees with the data. Journal of the American Statistical Association, 61(314), 305–312.

    Article  Google Scholar 

  • Mathers, C. (1991). Health expectancies in Australia 1981 and 1988. Canberra: Australian Institute of Health and Welfare.

    Google Scholar 

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Carmichael, G.A. (2016). Population Projections. In: Fundamentals of Demographic Analysis: Concepts, Measures and Methods. The Springer Series on Demographic Methods and Population Analysis, vol 38. Springer, Cham. https://doi.org/10.1007/978-3-319-23255-3_9

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  • DOI: https://doi.org/10.1007/978-3-319-23255-3_9

  • Publisher Name: Springer, Cham

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