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Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica

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  • Gianni Corsetti

    (Italian National Institute of Statistics)

  • Marco Marsili

    (Italian National Institute of Statistics)

Abstract

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Suggested Citation

  • Gianni Corsetti & Marco Marsili, 2013. "Previsioni stocastiche della popolazione nell’ottica di un Istituto Nazionale di Statistica," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(2-3), pages 5-29.
    • Handle: RePEc:isa:journl:v:15:y:2013:i:2-3:p:5-29
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    File URL: http://www.istat.it/it/files/2014/03/5-29.pdf
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    References listed on IDEAS

    as
    1. Graziani, Rebecca & Keilman, Nico, 2010. "The sensitivity of the Scaled Model of Error with respect to the choice of the correlation parameters: A Simulation Study," Memorandum 22/2010, Oslo University, Department of Economics.
    2. F. C. Billari & R. Graziani & E. Melilli, 2012. "Stochastic population forecasts based on conditional expert opinions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(2), pages 491-511, April.
    3. Andrei Rogers, 1985. "Regional Population Projection Models," Book Chapters, in: Grant I. Thrall (ed.),Scientific Geography Series, pages 52, Regional Research Institute, West Virginia University.
    4. Shripad Tuljapurkar & Ronald D. Lee & Qi Li, 2004. "Random Scenario Forecasts Versus Stochastic Forecasts," Working Papers wp073, University of Michigan, Michigan Retirement Research Center.
    5. Maarten Alders & Nico Keilman & Harri Cruijsen, 2007. "Assumptions for long-term stochastic population forecasts in 18 European countries," European Journal of Population, Springer;European Association for Population Studies, vol. 23(1), pages 33-69, March.
    6. repec:brs:ecchap:09 is not listed on IDEAS
    7. Andrei Rogers, 1985. "Regional Population Projection Models," Wholbk, Regional Research Institute, West Virginia University, number 09 edited by Grant I. Thrall, November-.
    8. 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.
    9. Nico Keilman & Dinh Quang Pham & Arve Hetland, 2002. "Why population forecasts should be probabilistic - illustrated by the case of Norway," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 6(15), pages 409-454.
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    More about this item

    Keywords

    population projections; stochastic approach; uncertainty.;
    All these keywords.

    JEL classification:

    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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