IDEAS home Printed from https://ideas.repec.org/p/gws/dpaper/12-1.html
   My bibliography  Save this paper

Reallocation of Purchasing Power due to Demographic Change - The Case of North Rhine-Westphalia

Author

Listed:
  • Britta Stöver

    () (GWS - Institute of Economic Structures Research)

Abstract

The ageing process of populations due to demographic change affects the economy in various ways. The study at hand focuses on the reallocation of income and changes in consumption expenses caused by demographic change. Local disparities on NUTS 3 level are of special interest as the demographic effects can vary considerably between regions depending on their initial position such as population density, age structure, and economic condition. By means of data for the regions of North-Rhine-Westphalia (Germany) a dynamic purchasing power indicator is built that takes the development of different age groups into account and gives a first impression of the effects of ageing on the development of income and consumption behaviour. Regional discrepancies can be identified. While some regions are characterised by a static income situation, i.e. a more or less age independent development, others show distinct increases/decreases in their income caused by their specific structure of demographic change.

Suggested Citation

  • Britta Stöver, 2012. "Reallocation of Purchasing Power due to Demographic Change - The Case of North Rhine-Westphalia," GWS Discussion Paper Series 12-1, GWS - Institute of Economic Structures Research.
  • Handle: RePEc:gws:dpaper:12-1
    as

    Download full text from publisher

    File URL: http://www.gws-os.com/discussionpapers/gws-paper12-1.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Kempkes, Gerhard, 2010. "Rapid demographic change and the allocation of public education resources: Evidence from East Germany," Discussion Paper Series 1: Economic Studies 2010,16, Deutsche Bundesbank.
    2. Bernd Meyer & Christian Lutz & Peter Schnur & Gerd Zika, 2007. "National Economic Policy Simulations with Global Interdependencies: A Sensitivity Analysis for Germany," Economic Systems Research, Taylor & Francis Journals, vol. 19(1), pages 37-55.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    demographic change; purchasing power; age groups; income; consumption;

    JEL classification:

    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gws:dpaper:12-1. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (GWS mbH). General contact details of provider: http://edirc.repec.org/data/gwsosde.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.