IDEAS home Printed from https://ideas.repec.org/p/ecm/latm04/308.html
   My bibliography  Save this paper

Classism, Discrimination And Meritocrascy In The Labor Market: The Case Of Chile

Author

Listed:
  • Roberto Gutierrez
  • Javier Nunez

Abstract

This paper examines the returns to the socioeconomic background of origin (or “class†) in the labor market in Chile. We employ individual data from several cohorts of graduates from the same program (Business and Economics) of a large and diverse public University in Chile. The data includes productivity measures uncommon in earnings differential studies, such as academic performance at University, school academic quality, and second language proficiency. Four measures of socioeconomic background are employed, which are significantly correlated. These are highly significant in explaining earnings despite their collinearity, and after controlling for various measures of productivity. The class wage gaps obtained by a Oxaca-Ramson decomposition amount to approximately 25 to 35 percent, which are remarkably higher than wage gaps reported in the literature for other workers’ characteristics such as gender, race and physical appearance. Moreover, the effect of class is more important in determining earnings than academic performance at University. Future research must focus on explaining the causes of this large return to class. These may emerge from some combination of pure employer discrimination, productivity-enhancing discrimination from other parties (such as consumers, peers and suppliers), statistical discrimination by employers and “pure†class-related productivity

Suggested Citation

  • Roberto Gutierrez & Javier Nunez, 2004. "Classism, Discrimination And Meritocrascy In The Labor Market: The Case Of Chile," Econometric Society 2004 Latin American Meetings 308, Econometric Society.
  • Handle: RePEc:ecm:latm04:308
    as

    Download full text from publisher

    File URL: http://repec.org/esLATM04/up.11239.1082127345.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lawrence M. Kahn, 1992. "The Effects of Race on Professional Football Players' Compensation," ILR Review, Cornell University, ILR School, vol. 45(2), pages 295-310, January.
    2. Hamermesh, Daniel S & Biddle, Jeff E, 1994. "Beauty and the Labor Market," American Economic Review, American Economic Association, vol. 84(5), pages 1174-1194, December.
    3. Biddle, Jeff E & Hamermesh, Daniel S, 1998. "Beauty, Productivity, and Discrimination: Lawyers' Looks and Lucre," Journal of Labor Economics, University of Chicago Press, vol. 16(1), pages 172-201, January.
    4. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Andersen, Lykke Eg & Mercado, Alejandro F. & Muriel H., Beatriz, 2003. "Discriminación Étnica en Bolivia: En el Sistema Educativo y el Mercado de Trabajo," Documentos de trabajo 3/2003, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    2. Villegas, Horacio & Núñez, Javier, 2005. "Discriminación Étnica en Bolivia: Examinando Diferencias Regionales y por Nicho de Calificación," Documentos de trabajo 1/2005, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana.
    3. Lourdes Espinoza & Carlos Gustavo Machicado & Katia Makhlouf, 2007. "La Enseñanza de Economía en Bolivia y Chile," Development Research Working Paper Series 10/2007, Institute for Advanced Development Studies.

    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. David S. Salkever & Marisa E. Domino, 1997. "Within Group "Structural" Tests of Labor-Market Discrimination: A Study of Persons with Serious Disabilities," NBER Working Papers 5931, National Bureau of Economic Research, Inc.
    2. Deng, Weiguang & Li, Dayang & Zhou, Dong, 2019. "Beauty and Job Accessibility: New Evidence from a Field Experiment," GLO Discussion Paper Series 369, Global Labor Organization (GLO).
    3. Balke, Nathan S & Petersen, D'Ann, 2002. "How Well Does the Beige Book Reflect Economic Activity? Evaluating Qualitative Information Quantitatively," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 114-136, February.
    4. Parrett, Matt, 2015. "Beauty and the feast: Examining the effect of beauty on earnings using restaurant tipping data," Journal of Economic Psychology, Elsevier, vol. 49(C), pages 34-46.
    5. Budzinski, Oliver & Kohlschreiber, Marie & Kuchinke, Björn & Pannicke, Julia, 2019. "Does music quality matter for audience voters in a music contest?," Ilmenau Economics Discussion Papers 122, Ilmenau University of Technology, Institute of Economics.
    6. Amy King & Andrew Leigh, 2009. "Beautiful Politicians," Kyklos, Wiley Blackwell, vol. 62(4), pages 579-593, November.
    7. Ahmed, Shaker & Ranta, Mikko & Vähämaa, Emilia & Vähämaa, Sami, 2023. "Facial attractiveness and CEO compensation: Evidence from the banking industry," Journal of Economics and Business, Elsevier, vol. 123(C).
    8. Eva Sierminska & Karan Singhal, 2023. "Does it pay to be beautiful?," IZA World of Labor, Institute of Labor Economics (IZA), pages 161-161, March.
    9. Dechter, Evgenia Kogan, 2015. "Physical appearance and earnings, hair color matters," Labour Economics, Elsevier, vol. 32(C), pages 15-26.
    10. Weichselbaumer, Doris, 2003. "Sexual orientation discrimination in hiring," Labour Economics, Elsevier, vol. 10(6), pages 629-642, December.
    11. Francisco B. Galarza & Gustavo Yamada, 2017. "Triple penalty in employment access: The role of beauty, race, and sex," Journal of Applied Economics, Universidad del CEMA, vol. 20, pages 29-47, May.
    12. Gregor Schwerhoff & Ottmar Edenhofer & Marc Fleurbaey, 2020. "Taxation Of Economic Rents," Journal of Economic Surveys, Wiley Blackwell, vol. 34(2), pages 398-423, April.
    13. Zhang, Junsen & Fei, Shulan & Wen, Yanbing, 2023. "How Does the Beauty of Wives Affect Post-Marriage Family Outcomes? Helen's Face in Chinese Households," IZA Discussion Papers 16157, Institute of Labor Economics (IZA).
    14. Helmut Dietl & Anil Özdemir & Andrew Rendall, 2018. "The Role of Physical Attractiveness in Tennis TV-Viewership," Working Papers 376, University of Zurich, Department of Business Administration (IBW).
    15. Carlsson, Fredrik & Kataria, Mitesh & Lampi, Elina, 2024. "Sexual objectification of women in media and the gender wage gap: Does exposure to objectifying pictures lower the reservation wage?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 108(C).
    16. Canace, Thomas G. & Cianci, Anna M. & (Kelvin) Liu, Xiaotao & Tsakumis, George T., 2020. "Paid for looks when others are looking: CEO facial traits, compensation, and corporate visibility," Journal of Business Research, Elsevier, vol. 115(C), pages 85-100.
    17. Arndt R. Reichert, 2015. "Obesity, Weight Loss, and Employment Prospects: Evidence from a Randomized Trial," Journal of Human Resources, University of Wisconsin Press, vol. 50(3), pages 759-810.
    18. Marianne Bertrand & Kevin F. Hallock, 2001. "The Gender Gap in Top Corporate Jobs," ILR Review, Cornell University, ILR School, vol. 55(1), pages 3-21, October.
    19. Sohn, Kitae, 2015. "The height premium in Indonesia," Economics & Human Biology, Elsevier, vol. 16(C), pages 1-15.
    20. Craig E. Landry & Andreas Lange & John A. List & Michael K. Price & Nicholas G. Rupp, 2006. "Toward an Understanding of the Economics of Charity: Evidence from a Field Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 747-782.

    More about this item

    Keywords

    Discrimination; Earnings gaps;

    JEL classification:

    • J7 - Labor and Demographic Economics - - Labor Discrimination

    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:ecm:latm04:308. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/essssea.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.