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Future fertility scenarios in Finland: a computational forecasting approach

Author

Listed:
  • Daniel Ciganda

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Julia Hellstrand

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Mikko Myrskylä

    (Max Planck Institute for Demographic Research, Rostock, Germany)

Abstract

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Suggested Citation

  • Daniel Ciganda & Julia Hellstrand & Mikko Myrskylä, 2023. "Future fertility scenarios in Finland: a computational forecasting approach," MPIDR Working Papers WP-2023-010, Max Planck Institute for Demographic Research, Rostock, Germany.
    • Handle: RePEc:dem:wpaper:wp-2023-010
    DOI: 10.4054/MPIDR-WP-2023-010
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    References listed on IDEAS

    as
    1. Julia Hellstrand & Jessica Nisén & Mikko Myrskylä, 2022. "Educational field, economic uncertainty, and fertility decline in Finland in 2010–2019," MPIDR Working Papers WP-2022-022, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Julia Hellstrand & Jessica Nisén & Mikko Myrskylä, 2020. "All-time low period fertility in Finland: Demographic drivers, tempo effects, and cohort implications," Population Studies, Taylor & Francis Journals, vol. 74(3), pages 315-329, September.
    3. Anna Matysiak & Tomáš Sobotka & Daniele Vignoli, 2021. "The Great Recession and Fertility in Europe: A Sub-national Analysis," European Journal of Population, Springer;European Association for Population Studies, vol. 37(1), pages 29-64, March.
    4. Mikko Myrskylä & Joshua R. Goldstein & Yen-hsin Alice Cheng, 2013. "New Cohort Fertility Forecasts for the Developed World: Rises, Falls, and Reversals," Population and Development Review, The Population Council, Inc., vol. 39(1), pages 31-56, March.
    5. Maria Rita Testa & Vegard Skirbekk & Wolfgang Lutz, 2006. "The Low Fertility Trap Hypothesis. Forces that May Lead to Further Postponement and Fewer Births in Europe," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 4(1), pages 167-192.
    6. Carl Schmertmann & Emilio Zagheni & Joshua R. Goldstein & Mikko Myrskylä, 2014. "Bayesian Forecasting of Cohort Fertility," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(506), pages 500-513, June.
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    More about this item

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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