IDEAS home Printed from https://ideas.repec.org/a/col/000416/017218.html

Do Firms Redline Workers?

Author

Listed:
  • Ana María Díaz; Luz Magdalena Salas
  • Luz Magdalena Salas

Abstract

Firms statistically discriminate (redline) against job candidates based on where they live. We conducted a correspondence test by sending three identical fictitious resumes to every non professional job offer posted in two main job vacancy newspapers in Bogota. The only difference between the resumes was the residential address in which the applicants lived. Two of the three resumes sent in each trio were located at the same commuting time (and geographical distance) from the job, but one resided in a low-crime neighborhood and the other in a high-crime neighborhood. The third resume was for a fictitious individual located in a low-crime neighborhood that is further away (longer commuting time and greater distance). Our experimental design allows us to explore whether employers discriminate against potential employees based on where they live, and if they do, which mechanisms are behind their discriminatory preferences. Building on the urban economics literature, we test two potential mechanisms: statistical discrimination due to negative signaling neighborhood effects and statistical discrimination based on commuting time to work. If any of these hold, we would expect employers to offer interviews to job applicants who reside in deprived or distant neighborhoods less often. We find that employers statistically discriminate (redline) based on commuting time to work. In particular, living one hour away from the vacancy reduces the callback rate by 32 percent while holding the attributes of the place of residence constant. We did not find evidence that employers respond to negative signaling effects or engages in taste based-discrimination.

Suggested Citation

  • Ana María Díaz; Luz Magdalena Salas & Luz Magdalena Salas, 2019. "Do Firms Redline Workers?," Vniversitas Económica, Universidad Javeriana - Bogotá, vol. 0(0), pages 1-41.
  • Handle: RePEc:col:000416:017218
    as

    Download full text from publisher

    File URL: https://drive.google.com/file/d/1bVxVx69RdzOwx4Fzc0mz_ogn0ZOg4T1G/view
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. is not listed on IDEAS
    2. Perez Perez, Jorge, 2020. "City Minimum Wages and Spatial Equilibrium Effects," SocArXiv fpx9e, Center for Open Science.
    3. Magnus Carlsson & Stefan Eriksson, 2023. "Do employers avoid hiring workers from poor neighborhoods? Experimental evidence from the real labor market," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 376-402, April.
    4. Bernal, David & García, Gustavo A. & Pérez Pérez, Jorge, 2025. "Better or worse job accessibility? Understanding changes in spatial mismatch: Evidence from Medellín, Colombia," Journal of Transport Geography, Elsevier, vol. 128(C).
    5. Sylvain Chareyron & Laetitia Challe & Yannick L’Horty & Pascale Petit, 2022. "Can subsidies paid directly to employers reduce residential discrimination in employment? An assessment based on serial field experiments," Urban Studies, Urban Studies Journal Limited, vol. 59(6), pages 1202-1218, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:col:000416:017218. 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: Mayerly Galindo Rodriguez (email available below). General contact details of provider: .

    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.