Volume 28 - Article 43 | Pages 1263-1302

Probabilistic household forecasts based on register data- the case of Denmark and Finland

By Solveig Christiansen, Nico Keilman

Print this page  

 

References

Alders, M. (1999). Stochastische huishoudensprognose 1998-2050 (Stochastic household forecast 1998-2050). Maandstatistiek van de Bevolking 11: 25–34.

Download reference in RIS | BibTeX

Alders, M. (2001). Huishoudensprognose 2000-2050: Veronderstellingen over onzekerheidsmarges (Household forecast 2000-2050: assumptions on uncertainty intervals). Maandstatistiek van de Bevolking 8: 14–17.

Download reference in RIS | BibTeX

Alders, M., Keilman, N., and Cruijsen, H. (2007). Assumptions for long-term stochastic population forecasts in 18 European countries. European Journal of Population 23(1): 33-69.

Weblink doi:10.1007/s10680-006-9104-4
Download reference in RIS | BibTeX

Alho, J., Alders, M., Cruijsen, H., Keilman, N., T., Nikander, and Quang Pham, D. (2006). New forecast: Population decline postponed in Europe. Statistical Journal of the United Nations ECE12(23): 1-10.

Download reference in RIS | BibTeX

Alho, J., Cruijsen, H., and Keilman, N. (2008). Empirically based specification of forecast uncertainty. In: Alho, J., Hougaard Jensen, S., and Lassila, J. (eds.). Uncertain Demographics and Fiscal Sustainability. Cambridge: Cambridge University Press: 34-54.

Weblink doi:10.1017/CBO9780511493393.004
Download reference in RIS | BibTeX

Alho, J. and Keilman, N. (2010). On future household structure. Journal of the Royal Statistical Society: Series A 173(1): 117-143.

Weblink doi:10.1111/j.1467-985X.2009.00605.x
Download reference in RIS | BibTeX

Arminger, G. and Galler, H. (1991). Demografische relevante Modellrechnungen: Simulations- und Analyseverfahren auf der Basis empirischer Erhebungen. Materialien zur Bevölkerungswissenschaft Heft 72. Wiesbaden: Bundersinstitut für Bevölkerungsforschung.

Download reference in RIS | BibTeX

Bell, M. , Cooper, J., and Les, M. (1995). Household and family models: A review. Canberra: Commonwealth Department of Housing and Regional Development.

Download reference in RIS | BibTeX

Christiansen, S. (2012). Household and family development in the Nordic countries: An overview. Paper presented at the International Seminar: Aging Households and the Nordic Welfare Model, Copenhagen, November 9-10 2012.

Download reference in RIS | BibTeX

De Beer, J. and Alders, M. (1999). Probabilistic population and household forecasts for the Netherlands. Geneva: Joint Economic Commission for Europe–EUROSTAT Work Session on Demographic Projections, Perugia, May 3rd–7th (Working paper 45).

Download reference in RIS | BibTeX

Fredriksen, D. (1998). Projections of population, education, labour supply and public pension benefits: Analyses with the dynamic microsimulation model MOSART. Oslo: Statistics Norway (Social and Economic Studies 101).

Download reference in RIS | BibTeX

Galler, H. (1988). Microsimulation of household formation and dissolution. In: Keilman, N., Kuijsten, A., and Vossen, A. (eds.). Modelling household formation and dissolution. Oxford: Clarendon Press: 139–159.

Download reference in RIS | BibTeX

Grundy, E. and Jital, M. (2007). Socio-demographic variations in moves to institutional care 1991–2001: A record linkage study from England and Wales. Age and Ageing 36(4): 424-430.

Weblink doi:10.1093/ageing/afm067
Download reference in RIS | BibTeX

Højbjerg Jacobsen, R., Hougaard Jensen, S.E., and Rebbe, S.K. (2011). Husholdningsstrukturen i Danmark under forvandling: Betyder det noget for de offentlige udgifter? Nationaloekonomisk Tidsskrift 149(1-3): 109-125.

Download reference in RIS | BibTeX

Jiang, L. and O’Neill, B. (2004). Toward a new model for probabilistic household forecasts. International Statistical Review 72: 51–64.

Download reference in RIS | BibTeX

Jiang, L. and O’Neill, B. (2006). Impacts of demographic events on US household change. Laxenburg (Interim Report IR-06-030).

Download reference in RIS | BibTeX

Keilman, N. and Brunborg, H. (1995). Household projections for Norway 1990-2020. Oslo (Reports 95/21).

Download reference in RIS | BibTeX

Keilman, N., Kuijsten, A., and Vossen, A. (1988). Modelling household formation and dissolution. Oxford: Clarendon Press.

Download reference in RIS | BibTeX

King, D. (1999). Official household projections in England: Methodology, usage and sensitivity tests. Geneva: Joint Economic Commission for Europe–EUROSTAT Work Session on Demographic Projections, Perugia, May 3rd–7th (Working paper 47).

Download reference in RIS | BibTeX

King, M. (2004). What fates impose: Facing up to uncertainty, British Academy lecture.

Weblink http://www.britac.ac.uk/news/release.asp?NewsID=154
Download reference in RIS | BibTeX

Kuijsten, A. and Vossen, A. (1988). Introduction: Modelling household formation and dissolution. In: Keilman, N., Kuijsten, A., and Vossen, A. (eds.). Modelling household formation and dissolution. Oxford: Clarendon Press: 3–12.

Download reference in RIS | BibTeX

Lakdawalla, D., Goldman, D.P., Bhattacharya, J., Hurd, M., Joyce, G., and Panis, C. (2003). Forecasting the nursing home population. Medical Care 41(1): 8-20.

Weblink doi:10.1097/00005650-200301000-00003
Download reference in RIS | BibTeX

Lakdawalla, D. and Philipson, T. (1999). Ageing and the growth of long-term care. NBER Working paper series, National Bureau of Economic Research (Reports 95/21).

Weblink http://www.nber.org/papers/w6980
Download reference in RIS | BibTeX

Lee, M. and Tuljapurkar, S. (2007). The degree of certainty in population projections. Population Reference Bureau.

Download reference in RIS | BibTeX

Lee, R. (1999). Probabilistic approaches to population forecasting. Population and Development Review 24(supplement): 156–190.

Weblink doi:10.2307/2808055
Download reference in RIS | BibTeX

Lind, M. (2008). Draft description of addressing in Denmark- Overview of legislation, authority, address registries and address components. Danish Enterprise and Construction Authority.

Download reference in RIS | BibTeX

Martikainen, P., Moustgaar, H., Murphy, M., Einiö, E.K., Koskinen, S., Martelin, T., and Noro, A. (2009). Gender, living arrangements, and social circumstances as determinants of entry into and exit from long-term institutional care at older ages: A 6-year follow-up study of older Finns. The Gerontologist 49(1): 34-45.

Weblink doi:10.1093/geront/gnp013
Download reference in RIS | BibTeX

Muller, C., Gnanasekaran, K., and Knapp, K. (1999). Housing and living arrangements for the elderly: An international comparison study. New York: International Longevity Center.

Download reference in RIS | BibTeX

Niemi, T. (2011). The Finnish address system. Finland: Population Register Centre.

Download reference in RIS | BibTeX

Nihtilä, E. and Martikainen, P. (2008). Why older people living with a spouse are less likely to be institutionalized: The role of socioeconomic factors and health characteristics. Scandinavian Journal of Public Health 36(1): 35-43.

Weblink doi:10.1177/1403494807086421
Download reference in RIS | BibTeX

O’Neill, B. and Chen, B. (2002). Demographic determinants of household energy use in the United States. Population and Development Review 28(supplement): 53–88.

Download reference in RIS | BibTeX

Scherbov, S. and Ediev, D. (2007). Probabilistic household projections based on an extension of headship rates method with application to the case of Russia. Geneva: Joint Economic Commission for Europe–EUROSTATWork Session on Demographic Projections, Bucharest, Oct. 10th–12th (working paper 16).

Download reference in RIS | BibTeX

United Nations (1973). Methods of projecting households and families. New York: United Nations.

Download reference in RIS | BibTeX

US National Resources Planning Committee (1938). The problems of a changing population. Washington DC: Government Printing Office.

Download reference in RIS | BibTeX

Van Duin, C. and Harmsen, C. (2009). Een nieuw model voor de CBS huishoudensprognose (A new model for the CBS household forecasts). Bevolkingstrends, statistisch kwartaalblad over de demografie van Nederland 57(3): 20-42.

Download reference in RIS | BibTeX

Van Imhoff, E. (1992). A general characterization of consistency algorithms in multidimensional demographic projection models. Population Studies 46(1): 159-169.

Weblink doi:10.1080/0032472031000146066
Download reference in RIS | BibTeX

Van Imhoff, E. and Keilman, N. (1991). LIPRO 2.0: An application of a dynamic demographic projection model to household structure in the Netherlands. Amsterdam: Swets and Zeitlinger.

Download reference in RIS | BibTeX

Van Imhoff, E., Kuijsten, A., Hooimeijer, P., and van Wissen, L. (1995). Household demography and household modelling. New York: Plenum Press.

Weblink doi:10.1007/978-1-4757-5424-7
Download reference in RIS | BibTeX

Wachter, K. (1987). Microsimulation of household cycles. In: Bongaarts, J., Burch, T.K., and Wachter, K.W. (eds.). Family demography: Methods and their application. Oxford: Clarendon Press: 215–227.

Download reference in RIS | BibTeX

Zeng, Y., Land, K., Wang, Z., and Gu, D. (2007). U.S. family household momentum and dynamics: An extension and application of the ProFamy method. Population Research and Policy Review 25: 1–41.

Download reference in RIS | BibTeX