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Population Projection for Germany 2015–2050 on Grid Level (RWI-GEO-GRID-POP-Forecast)

Author

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  • Breidenbach Philipp
  • Kaeding Matthias
  • Schaffner Sandra

    (RWI – Leibniz-Institute for Economic Research, Essen, Germany)

Abstract

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Suggested Citation

  • Breidenbach Philipp & Kaeding Matthias & Schaffner Sandra, 2019. "Population Projection for Germany 2015–2050 on Grid Level (RWI-GEO-GRID-POP-Forecast)," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(4), pages 733-745, August.
    • Handle: RePEc:jns:jbstat:v:239:y:2019:i:4:p:733-745:n:1
    DOI: 10.1515/jbnst-2017-0149
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    References listed on IDEAS

    as
    1. Breidenbach Philipp & Eilers Lea, 2018. "RWI-GEO-GRID: Socio-economic data on grid level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(6), pages 609-616, October.
    2. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Joachim Wagner, 2022. "The first 50 contributions to the Data Observer Series – An overview," Working Paper Series in Economics 412, University of Lüneburg, Institute of Economics.
    2. Breidenbach Philipp & Eilers Lea, 2018. "RWI-GEO-GRID: Socio-economic data on grid level," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(6), pages 609-616, October.
    3. Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
    4. Joachim Wagner, 2022. "The first 50 contriutions to the Data Observer Series - An Overview," RatSWD Working Papers 279, German Data Forum (RatSWD).

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