IDEAS home Printed from
   My bibliography  Save this article

The Negative and Persistent Impact of Social Housing on Employment


  • Stéphane Gregoir
  • Tristan-Pierre Maury


We assess whether and how much social housing may contribute to the dynamics of unemployment. We propose an original model on the joint dynamics of individual home and labor market positions estimated with UK panel data that allows for idiosyncratic heterogeneity and state dependence. Our results provide significant evidence of cross-causality effects between home tenure and the labor market: we find a higher transition rate into social housing for unemployed or inactive household heads, and a lower probability of getting employed for social tenants ceteris paribus. We compare two groups of household heads living in the private sector: the employed and the jobseekers. We estimate their probability of being employed in the medium term. The indirect role of transitions to social housing appears quantitatively large and significant. Indeed, almost 20% of the gap in employment probability in the medium term between the two groups can be attributed to a higher likelihood of living in the social sector for the jobseekers.

Suggested Citation

  • Stéphane Gregoir & Tristan-Pierre Maury, 2018. "The Negative and Persistent Impact of Social Housing on Employment," Annals of Economics and Statistics, GENES, issue 130, pages 133-166.
  • Handle: RePEc:adr:anecst:y:2018:i:130:p:133-166
    DOI: 10.15609/annaeconstat2009.130.0133

    Download full text from publisher

    File URL:
    Download Restriction: no


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

    Cited by:

    1. Gohl, Niklas, 2019. "House prices and spatial mobility: Lock-in effects on the German rental market," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203557, Verein für Socialpolitik / German Economic Association.

    More about this item


    Social Housing; Unemployment; Path Analysis; Multivariate Dynamic Logit.;
    All these keywords.

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions


    Access and download statistics


    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:adr:anecst:y:2018:i:130:p:133-166. 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: (Secretariat General) or (Laurent Linnemer). General contact details of provider: .

    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 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.

    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.