IDEAS home Printed from https://ideas.repec.org/p/arz/wpaper/eres2011_227.html
   My bibliography  Save this paper

How to improve market transparency

Author

Listed:
  • Rene Gudat

Abstract

In the economic research market transparency is the knowledge about goods, their prices and their allocation. Competitive market transparency requires a competitive market. Unfortunately, caused by heterogeneous and immovable real estate the land and real estate market isnít a competitive market. Nevertheless, improvement of market transparency is a major goal of market research. The land and real estate market is divided spatially and factually. This paper will present empirical and theoretical efforts to improve transparency of the land and real estate market. It presents the preliminary results of a research project started in 2007. While the final report of the research project deals with empirical aspects, the doctoral thesis deals with a theoretical model to improve market transparency. Requirements to improve transparency of the land and real estate market can be derived by an em-pirical study of current situation. Therefore, four issues have been analyzed. To begin with, market information that is currently published on a national level has been analyzed. Market information could be grouped by publisher and characterized by content: Different publishers focus on different aspects. For the second place, published information from different countries has been compared internationally. Different countries have different legal and economic frameworks. To fit require-ments of users both frameworks should be considered within a comparison of market information and market transparency. For the third place, market participants have been asked for their demand for market information. For the fourth place, scientific and practical papers point out aspects of mar-ket transparency or demand for market information of market participants. All issues were combined to a system to improve nowadays markets transparency. The idea of the empirical study is to identify very important factors (key factor) to describe the land and real estate market. Another effort is deriving key factors theoretically. It can be done by comparing different suggestions written in literature or by modeling the demand for market information used in different services. However, different services like valuation, market and location analyses or forecasting - each sup-porting transparency ñ require different parameters. These services can be formed to a model of market transparency. This model allows considering all aspects of market transparency. The parame-ters of different services are combined in the doctoral thesis. The weights of different parameters are estimated by using Multi-Criteria Decision Making. Due to quantitative parameter the decisional problem is fuzzy. The doctoral thesis will handle these problems by using methods like PROMETHEE, ELECTRE and AHP. Various benefits of these methods are going to be connected. The theoretical model results a set of key factors. The key factors derived in the empirical study are going to be tested practically. The results of the doctoral thesis are going to be compared with the results of the empirical study and the statements of market participants derived in the survey. Although the research is located in Germany, ideas and results could be transferred into other countries.

Suggested Citation

  • Rene Gudat, 2011. "How to improve market transparency," ERES eres2011_227, European Real Estate Society (ERES).
  • Handle: RePEc:arz:wpaper:eres2011_227
    as

    Download full text from publisher

    File URL: https://eres.architexturez.net/doc/oai-eres-id-eres2011-227
    Download Restriction: no

    File URL: https://eres.architexturez.net/system/files/pdf/eres2011_227.content.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Volker Rußig & Ludwig Dorffmeister, 2005. "Thirteen average annual incomes to buy a row house- Real estate price developments in Germany," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(13), pages 20-30, July.
    2. Albrecht Kauffmann & Andreas Nastansky, 2006. "Ein kubischer Spline zur temporalen Disaggregation von Stromgrößen und seine Anwendbarkeit auf Immobilienindizes," Statistische Diskussionsbeiträge 22, Universität Potsdam, Wirtschafts- und Sozialwissenschaftliche Fakultät.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ansgar Belke & Jonas Keil, 2018. "Fundamental Determinants of Real Estate Prices: A Panel Study of German Regions," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 24(1), pages 25-45, February.
    2. Volker Rußig, 2007. "New housing completions in Europe: Coming down slowly from the summit," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 60(14), pages 21-29, July.
    3. Volker Rußig, 2005. "Stable upswing in European apartment house construction - further results of the 2005 Euroconstruct summer conference," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(15), pages 36-42, August.
    4. Volker Rußig, 2005. "Germany retards the upswing of Europe’s construction industry – selected results of the Euroconstruct 2005 summer conference," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(14), pages 39-45, July.
    5. Peter Lippe & Claus Breuer, 2010. "Datengewinnung im periodischen regionalen Preisvergleich–Die Problematik der Mieten und Immobilienpreise," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 30(2), pages 191-222, September.
    6. Frondel, Manuel & Schmidt, Torsten & Vance, Colin & Zimmermann, Tobias & Belke, Ansgar, 2008. "Einfluss von Preisschocks auf die Preisentwicklung in Deutschland: Forschungsvorhaben des Bundesministeriums für Wirtschaft und Technologie. Projekt-Nr. I D 4-020815-16/07. Endbericht - Oktober 2008," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 70890.

    More about this item

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:arz:wpaper:eres2011_227. 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.

    If CitEc recognized a bibliographic 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.

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