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Fertility Projections in a European Context: A Survey of Current Practices among Statistical Agencies

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Listed:
  • Gleditsch Rebecca Folkman

    (Statistics Norway, Department of Research, PO Box 2633 St. Hanshaugen, N-0131 Oslo, Norway.)

  • Syse Astri

    (Statistics Norway, Department of Research, PO Box 2633 St. Hanshaugen, N-0131 Oslo, Norway.)

  • Thomas Michael J.

    (Statistics Norway, Department of Research, PO Box 2633 St. Hanshaugen, N-0131 Oslo, Norway.)

Abstract

Projection studies have often focused on mortality and, more recently, migration. Fertility is less studied, although even small changes can have significant repercussions for the size and age structure of future populations. Across Europe, there is no consensus on how fertility is best projected. In this article, we identify different approaches used to project fertility among statistical agencies in Europe and provide an assessment of the different approaches according to the producers themselves. Data were collected using a mixed-method approach. First, European statistical agencies answered a questionnaire regarding fertility projection practices. Second, an in-depth review of select countries was performed. Most agencies combine formal models with expert opinion. While many attempt to maximise the use of relevant inputs, there is more variation in the detail of outputs, with some agencies unable to account for changing age patterns. In a context of limited resources, most are satisfied with their approaches, though some are assessing alternative methodologies to improve accuracy and increase transparency. This study highlights the diversity of approaches used in fertility projections across Europe. Such knowledge may be useful to statistical agencies as they consider, test and implement different approaches, perhaps in collaboration with other agencies and the wider scientific community.

Suggested Citation

  • Gleditsch Rebecca Folkman & Syse Astri & Thomas Michael J., 2021. "Fertility Projections in a European Context: A Survey of Current Practices among Statistical Agencies," Journal of Official Statistics, Sciendo, vol. 37(3), pages 547-568, September.
  • Handle: RePEc:vrs:offsta:v:37:y:2021:i:3:p:547-568:n:7
    DOI: 10.2478/jos-2021-0025
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    References listed on IDEAS

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    1. Kryštof Zeman & Eva Beaujouan & Zuzanna Brzozowska & Tomáš Sobotka, 2018. "Cohort fertility decline in low fertility countries: Decomposition using parity progression ratios," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(25), pages 651-690.
    2. Ådne Cappelen & Terje Skjerpen & Marianne Tønnessen, 2015. "Forecasting Immigration in Official Population Projections Using an Econometric Model," International Migration Review, Wiley Blackwell, vol. 49(4), pages 945-980, December.
    3. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    4. James Raymer & Arkadiusz Wiśniowski, 2018. "Applying and testing a forecasting model for age and sex patterns of immigration and emigration," Population Studies, Taylor & Francis Journals, vol. 72(3), pages 339-355, September.
    5. Rob Hyndman & Heather Booth & Farah Yasmeen, 2013. "Coherent Mortality Forecasting: The Product-Ratio Method With Functional Time Series Models," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 261-283, February.
    6. Rebecca Folkman Gleditsch & Astri Syse, 2020. "Ways to project fertility in Europe. Perceptions of current practices and outcomes," Discussion Papers 929, Statistics Norway, Research Department.
    7. Nan Li & Ronald Lee, 2005. "Coherent mortality forecasts for a group of populations: An extension of the lee-carter method," Demography, Springer;Population Association of America (PAA), vol. 42(3), pages 575-594, August.
    8. Hyndman, Rob J. & Shahid Ullah, Md., 2007. "Robust forecasting of mortality and fertility rates: A functional data approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4942-4956, June.
    9. Nico Keilman, 2018. "Probabilistic demographic forecasts," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 16(1), pages 025-035.
    10. Rebecca F. Gleditsch & Adrian F. Rogne & Astri Syse & Michael Thomas, 2021. "The accuracy of Statistics Norway’s national population projections," Discussion Papers 948, Statistics Norway, Research Department.
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