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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

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

  • Kaeding Matthias

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

  • Schaffner Sandra

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

Abstract

No abstract is available for this item.

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.
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    Cited by:

    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. Joachim Wagner, 2022. "The first 50 contriutions to the Data Observer Series - An Overview," RatSWD Working Papers 279, German Data Forum (RatSWD).
    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 contributions to the Data Observer Series – An overview," Working Paper Series in Economics 412, University of Lüneburg, Institute of Economics.
    5. Joachim Wagner, 2024. "Data Observer—a guide to data that can help to inform evidence-based policymaking," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 18(2), pages 279-287, June.

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