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Experiments in modelling recent Danish fertility curves

Author

Listed:
  • Jan Hoem
  • Dan Madien
  • Jørgen Nielsen
  • Else-Marie Ohlsen
  • Hans Hansen
  • Bo Rennermalm

Abstract

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Suggested Citation

  • Jan Hoem & Dan Madien & Jørgen Nielsen & Else-Marie Ohlsen & Hans Hansen & Bo Rennermalm, 1981. "Experiments in modelling recent Danish fertility curves," Demography, Springer;Population Association of America (PAA), vol. 18(2), pages 231-244, May.
    • Handle: RePEc:spr:demogr:v:18:y:1981:i:2:p:231-244
    DOI: 10.2307/2061095
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    References listed on IDEAS

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    1. Edmund Murphy & Dhruva Nagnur, 1972. "A Gompertz fit that fits: Applications to canadian fertility patterns," Demography, Springer;Population Association of America (PAA), vol. 9(1), pages 35-50, February.
    2. S. Mitra & A. Romaniuk, 1973. "Pearsonian Type I curve and its fertility projection potentials," Demography, Springer;Population Association of America (PAA), vol. 10(3), pages 351-365, August.
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    Citations

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    Cited by:

    1. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    2. Carl Schmertmann, 2003. "A system of model fertility schedules with graphically intuitive parameters," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(5), pages 81-110.
    3. Alan Marshall & Paul Norman & Ian Plewis, 2013. "Applying Relational Models to the Graduation of Disability Schedules [Application de modèles relationnels pour le lissage de schémas d’incapacités]," European Journal of Population, Springer;European Association for Population Studies, vol. 29(4), pages 467-491, November.
    4. Mikko Myrskylä & Joshua R. Goldstein, 2010. "Probabilistic forecasting using stochastic diffusion models, with applications to cohort processes of marriage and fertility," MPIDR Working Papers WP-2010-013, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Yuan Cheng & Xuehui Han, 2013. "Does large volatility help?—stochastic population forecasting technology in explaining real estate price process," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 323-356, January.
    6. Nico Keilman & Dinh Quang Pham, 2000. "Predictive Intervals for Age-Specific Fertility," European Journal of Population, Springer;European Association for Population Studies, vol. 16(1), pages 41-65, March.
    7. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    8. Oberhofer, Walter & Reichsthaler, Thomas, 2004. "Modelling Fertility: A Semi-Parametric Approach," University of Regensburg Working Papers in Business, Economics and Management Information Systems 396, University of Regensburg, Department of Economics.
    9. Hyndman, Rob J. & Booth, Heather, 2008. "Stochastic population forecasts using functional data models for mortality, fertility and migration," International Journal of Forecasting, Elsevier, vol. 24(3), pages 323-342.
    10. Carl Schmertmann, 2021. "D-splines: Estimating rate schedules using high-dimensional splines with empirical demographic penalties," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(45), pages 1085-1114.
    11. Anastasia Kostaki & Javier Moguerza & Alberto Olivares & Stelios Psarakis, 2009. "Graduating the age-specific fertility pattern using Support Vector Machines," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(25), pages 599-622.
    12. Joanne Ellison & Erengul Dodd & Jonathan J. Forster, 2020. "Forecasting of cohort fertility under a hierarchical Bayesian approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 829-856, June.
    13. Mikko Myrskylä & Joshua Goldstein, 2013. "Probabilistic Forecasting Using Stochastic Diffusion Models, With Applications to Cohort Processes of Marriage and Fertility," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 237-260, February.

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