Assumptions for long-term stochastic population forecasts in 18 European countries

European Journal of Population

Volumn 23, Issue 1, 2007, Pages 33-69

  Alders, Maarten ^a   Keilman, Nico ^b   Cruijsen, Harri ^c  

^a STATISTICS NETHERLANDS   (Netherlands)

^b UNIVERSITY OF OSLO   (Norway)

^c DEMOCAST ^*  (Netherlands)

Author keywords

Empirical errors; Expert judgement; Forecast assumptions; Probabilistic forecast; Scaled model of error; Time series

Indexed keywords

ERROR ANALYSIS; FERTILITY; FORECASTING METHOD; MIGRATION; MORTALITY; POPULATION ESTIMATION; PROBABILITY; STOCHASTICITY; TIME SERIES ANALYSIS;

EURASIA; EUROPE;

EID: 33947408109     PISSN: 01686577     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10680-006-9104-4     Document Type: Article

References (28)

1. Alders, M., & de Beer, J. (2004). Assumptions on fertility in stochastic population forecasts. International Statistical Review, 72, 65-79.
2. Alho, J. M. (1997). Scenarios, uncertainty, and conditional forecasts of the world population. Journal of the Royal Statistical Society, A 160 (Part 1), 71-85.
3. Alho, J. M. (1998). A stochastic forecast of the population of Finland, Reviews 1998/4. Helsinki: Statistics Finland.
4. Alho, J. (2005). Stochastic forecasting in a multiregional setting. Paper delivered at Second International Institute of Forecasters, workshop on Stochastic Demographic Forecasting, University of Salamanca, Spain, 28-29 July 2005.
5. Alho, J. M., Alders, M., Cruijsen, H., Keilman, N., Nikander, T., & Pham, D. Q. (2006). New forecast: Population decline postponed in Europe. Statistical Journal of the UNECE, 23 (1), 1-10.
6. Alho, J., Cruijsen, H., & Keilman, N. (2006). Empirically based specification of forecast uncertainty. Paper delivered at the Conference on Demographic Uncertainty and the Sustainability of Social Welfare Systems, Kittilä, Finland, 20-23 March 2006.
7. Alho, J. M., & Spencer, B. D. (1997). The practical specification of the expected error of population forecasts. Journal of Official Statistics, 13, 204-225.
8. Alho, J., & Spencer, B. (2005). Statistical demography and forecasting. New York: Springer.
9. Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31, 307-327.
10. Box, G. E. P., & Jenkins, G. M. (1970). Time series analysis: Forecasting and control. San Francisco: Holden Day.
11. Chesnais, J.-C. (1992). The demographic transition: Stages, patterns, and economic implications. Oxford: Clarendon Press.
12. Council of Europe (2002). Recent demographic developments in Europe 2002. Strasbourg: Council of Europe Publishing.
13. De Beer, J., & Alders, M. (1999). Probabilistic population and household forecasts for the Netherlands. Working paper no. 45, Joint ECE-Eurostat work session on demographic projections, Perugia, Italy, 3-7 May 1999.
14. Engle, R. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of UK inflation. Econometrica, 50, 987-1008.
15. Eurostat. (2003). Demographic statistics: Definitions and methods of collection in 31 European countries. Luxembourg, Eurostat working papers, population and social conditions, 3/2003/E/no. 25.
16. Eurostat. (2004). First demographic estimates for 2003. Statistics in focus, population and social conditions, Theme 3, 1/2004.
17. Eurostat. (2005a). Methodology for the calculation of Eurostat's demographic indicators, Luxembourg. Eurostat working papers and studies, population and social conditions, KS-CC-04-004.
18. Eurostat. (2005b). Population projections 2004-2050: EU25 population rises until 2025, then falls: Working age population expected to decrease by 52 million by 2050. Eurostat News Release 48/2005, 8 April 2005.
19. Keilman, N., & Cruijsen, H. (Eds.). (1992). National population forecasting in industrialized countries. Amsterdam etc.: Swets & Zeitlinger (NIDI/CBGS Publications no. 24).
20. Keilman, N., & Pham, D. Q. (2004). Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area. Discussion Paper no. 386, Oslo: Statistics Norway.
21. Keilman, N. W., Pham, D. Q., & Hetland, A. (2002). Why population forecasts should be probabilistic - illustrated by the case of Norway. Demographic Research, 6-15 May 2002, 409-53. Internet www.demographic-research.org/volumes/vol6/15/6-15.pdf.
22. Lee, R., & Tuljapurkar, S. (1994). Stochastic population forecasts for the United States: Beyond high, medium, and low. Journal of the American Statistical Association, 89 (1), 175-189.
23. Lutz, W., Sanderson, W., & Scherbov, S. (2001). The end of world population growth. Nature, 412, 543-545.
24. National Research Council. (2000). Beyond Six Billion: Forecasting the world's population, Panel on population projections, J. Bongaarts & R. Bulatao (Eds.), Committee on Population, Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press. Internet http://books.nap.edu/books/0309069904/html/index.html.
25. Poulain, M., Debuisson, M., & Eggerickx, Th. (1990). Project d'harmonisation des statistiques de migration internationale au sein de la Communauté Européenne (5 vols). Institut de Démographie, Louvain-la-Neuve.
26. Shryock, H. S., Siegel, J. S., & Associates (1976). The methods and materials of demography, condensed edition by E. G. Stockwell. New York etc.: Academic Press.
27. Thompson, P., Bell, W., Long, J., & Miller, R. (1989). Multivariate time series projections of parameterized age-specific fertility rates. Journal of the American Statistical Association, 84, 689-699.
28. United Nations. (2005). World population prospects, the 2004 revision, New York: United Nations.