IDEAS home Printed from https://ideas.repec.org/p/rsw/rswrns/rswrns34.html
   My bibliography  Save this paper

Möglichkeiten zur Bildung eines Regionalindex Wohnkosten unter Verwendung von Angebotsdaten

Author

Listed:
  • Bernhard Faller
  • Christoph Helbach,
  • Andreas Vater
  • Reiner Braun

Abstract

Der Rat für Sozial- und Wirtschaftsdaten hat am 21. März unter dem Titel „Weißer Fleck Regionale Preisindizes – Wie kann die Wissenslücke geschlossen werden?“ einen Projektaufruf veröffentlicht, um Möglichkeiten zur Bildung regional differenzierter Preisindizes zu beleuchten und mittelfristig die entsprechende Datenverfügbarkeit zu verbessern. Dabei sind vor allem Güter und Leistungen von Bedeutung, die mit Blick auf regional unterschiedliche Lebenshaltungskosten ein hohes Gewicht haben. Im Zuge dieses Aufrufs hat der Rat für Sozial- und Wirtschaftsdaten empirica damit beauftragt, mit einer Expertise für den Bereich „Wohnkosten“ ein Mosaik zum Gesamtbild beizusteuern. Wohnkosten spielen – das wird auch im Projektaufruf deutlich – im Kontext regionaler Preisindizes eine entscheidende Rolle, denn zum einen geben Mieterhaushalte fast während des gesamten Lebenszyklus rund 20% ihres Nettoeinkommens für das Wohnen aus (Kaltmiete). Zum anderen sind auch die regionalen Unterschiede, beispielsweise zwischen München und peripheren Regionen Ostdeutschlands, erheblich.

Suggested Citation

  • Bernhard Faller & Christoph Helbach, & Andreas Vater & Reiner Braun, 2009. "Möglichkeiten zur Bildung eines Regionalindex Wohnkosten unter Verwendung von Angebotsdaten," RatSWD Research Notes 34, German Data Forum (RatSWD).
    • Handle: RePEc:rsw:rswrns:rswrns34
    as

    Download full text from publisher

    File URL: http://www.ratswd.de/download/RatSWD_RN_2009/RatSWD_RN_34.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mense, Andreas & Wirth, Benjamin, 2014. "Flat Prices, Cell Phone Base Stations, and Network Structure: An Instrumental Variable Approach to Endogenous Locations," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100618, Verein für Socialpolitik / German Economic Association.
    2. Tomaso Duso & Claus Michelsen & Maximilian Schäfer & Kevin Ducbao Tran, 2021. "Airbnb and Rental Markets: Evidence from Berlin," Bristol Economics Discussion Papers 21/746, School of Economics, University of Bristol, UK.
    3. Kholodilin, Konstantin A. & Ulbricht, Dirk, 2015. "Urban house prices: A tale of 48 cities," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-43.
    4. Andreas Mense & Konstantin Kholodilin, 2014. "Noise expectations and house prices: the reaction of property prices to an airport expansion," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(3), pages 763-797, May.
    5. Duso, Tomaso & Michelsen, Claus & Schaefer, Maximilian & Tran, Kevin Ducbao, 2024. "Airbnb and rental markets: Evidence from Berlin," Regional Science and Urban Economics, Elsevier, vol. 106(C).
    6. Konstantin A Kholodilin & Andreas Mense & Claus Michelsen, 2017. "The market value of energy efficiency in buildings and the mode of tenure," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3218-3238, November.
    7. Weinand, Sebastian & von Auer, Ludwig, 2019. "Anatomy of regional price differentials: Evidence from micro price data," Discussion Papers 04/2019, Deutsche Bundesbank.
    8. Sebastian Weinand & Ludwig von Auer, 2019. "Anatomy of Regional Price Differentials: Evidence From Micro Price Data," RatSWD Working Papers 268, German Data Forum (RatSWD).
    9. Franke, Melanie & Nadler, Claudia, 2019. "Energy efficiency in the German residential housing market: Its influence on tenants and owners," Energy Policy, Elsevier, vol. 128(C), pages 879-890.

    More about this item

    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:rsw:rswrns:rswrns34. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: RatSWD (email available below). General contact details of provider: https://edirc.repec.org/data/rtswdde.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.