IDEAS home Printed from https://ideas.repec.org/p/tcb/wpaper/1620.html
   My bibliography  Save this paper

Job Security and Housing Credits

Author

Listed:
  • Kurmas Akdogan
  • Ayse Tatar
  • Ayse Arzu Yavuz

Abstract

This paper is concerned with the relationship between employment security and housing credits. It is argued that higher employment protection might result in higher demand for housing due to its mitigating impact on the uncertainty about the future income stream of the workers. The results of the empirical analysis using yearly data for 23 countries from 1990 to 2013 suggest a positive relationship between job security and housing credits at the aggregate level. This evidence emphasizes potential negative effects of reducing job protection on aggregate demand. Moreover, considering the propagation mechanism linked with housing demand, this negative impact could be higher and longer than expected.

Suggested Citation

  • Kurmas Akdogan & Ayse Tatar & Ayse Arzu Yavuz, 2016. "Job Security and Housing Credits," Working Papers 1620, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    • Handle: RePEc:tcb:wpaper:1620
    as

    Download full text from publisher

    File URL: https://www.tcmb.gov.tr/wps/wcm/connect/EN/TCMB+EN/Main+Menu/Publications/Research/Working+Paperss/2016/16-20
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Haydar Karadağ, 2021. "Türkiye Ekonomisinde Bankalar Tarafından Verilen Konut Kredileri, Konut Satışları ve İşsizlik Arasındaki İlişki (2010:Q1-2020:Q3)," Journal of Social Policy Conferences, Istanbul University, Faculty of Economics, vol. 0(80), pages 403-422, June.

    More about this item

    Keywords

    Labour markets; Job security; Credit demand; Panel data;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    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:tcb:wpaper:1620. 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: Sermet Pekin or Ilker Cakar or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/tcmgvtr.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.