IDEAS home Printed from https://ideas.repec.org/a/spr/joerap/v4y2021i4d10.1007_s41996-020-00062-1.html
   My bibliography  Save this article

Skin Tone Differences in Social Mobility in Mexico: Are We Forgetting Regional Variance?

Author

Listed:
  • Luis Monroy-Gómez-Franco

    (Graduate Center of the City University of New York)

  • Roberto Vélez-Grajales

    (Centro de Estudios Espinosa Yglesias)

Abstract

In the present paper, we provide the first set of estimates for the Mexican case on the rate of social mobility by skin tone that correctly separates the regional from the skin tone effect. Previous analyses on a national scale have concluded that there is a strong relationship between skin tone and social mobility in Mexico, where darker skin tones are associated with lower rates of relative upward intergenerational mobility than in the rest of the population. For our analysis, we employ the 2017 ESRU Survey of Social Mobility in Mexico (ESRU-EMOVI 2017), which allows us to analyze the social mobility patterns in each region of Mexico. Results show that differences in social mobility between the darkest and medium skin tones disappear. However, importantly, in all of the regions analyzed, the group with the lightest skin tone consistently has an advantage in upward social mobility over the rest of the population. Moreover, light-skinned individuals in all regions are not only able to climb more easily up the national socioeconomic distribution, but they are also more able to preserve their position once they reach the top. The same holds at the national level, even after controlling for the region of origin. These results suggest that the stratification regime observed in Mexico preserves the advantage that the Spanish and their direct descendants enjoyed under the colonial caste system, but instead of associating it with specific lineage or nationality, it became associated with the skin color of those at the top.

Suggested Citation

  • Luis Monroy-Gómez-Franco & Roberto Vélez-Grajales, 2021. "Skin Tone Differences in Social Mobility in Mexico: Are We Forgetting Regional Variance?," Journal of Economics, Race, and Policy, Springer, vol. 4(4), pages 257-274, December.
  • Handle: RePEc:spr:joerap:v:4:y:2021:i:4:d:10.1007_s41996-020-00062-1
    DOI: 10.1007/s41996-020-00062-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41996-020-00062-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41996-020-00062-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Campos Vázquez, Raymundo M. & Medina Cortina, Eduardo M., 2018. "Identidad social y estereotipos por color de piel. Aspiraciones y desempeño en jóvenes mexicanos," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(337), pages .53-79, enero-mar.
    2. Raymundo M. Campos-Vazquez & Eduardo M. Medina-Cortina, 2019. "Skin Color and Social Mobility: Evidence From Mexico," Demography, Springer;Population Association of America (PAA), vol. 56(1), pages 321-343, February.
    3. Eva O. Arceo-Gomez & Raymundo M. Campos-Vazquez, 2019. "Double Discrimination: Is Discrimination in Job Ads Accompanied by Discrimination in Callbacks?," Journal of Economics, Race, and Policy, Springer, vol. 2(4), pages 257-268, December.
    4. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez & Nicholas Turner, 2014. "Is the United States Still a Land of Opportunity? Recent Trends in Intergenerational Mobility," American Economic Review, American Economic Association, vol. 104(5), pages 141-147, May.
    5. Patrick Bayer & Kerwin Kofi Charles, 2018. "Divergent Paths: A New Perspective on Earnings Differences Between Black and White Men Since 1940," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(3), pages 1459-1501.
    6. David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
    7. Gary S. Becker & Nigel Tomes, 1994. "Human Capital and the Rise and Fall of Families," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, Third Edition, pages 257-298, National Bureau of Economic Research, Inc.
    8. Roberto Vélez Grajales & Omar Stabridis & Enrique E. Minor, 2017. "«Still Looking for the Land of Opportunity: The Case of Mexico»," Papers 2017_01, Centro de Estudios Espinosa Yglesias.
    9. Haroon Bhorat & Carlene van der Westhuizen, 2013. "Non-monetary dimensions of well-being in South Africa, 1993--2004: A post-apartheid dividend?," Development Southern Africa, Taylor & Francis Journals, vol. 30(3), pages 295-314, September.
    10. Marcelo DELAJARA & Raymundo M. CAMPOS VASQUEZ & Roberto VELEZ-GRAJALES, 2020. "Social Mobility in Mexico. What Can We Learn from Its Regional Variation?," Working Paper 9d0db7de-8625-414f-92b5-7, Agence française de développement.
    11. Sahn, David E. & Stifel, David C., 2000. "Poverty Comparisons Over Time and Across Countries in Africa," World Development, Elsevier, vol. 28(12), pages 2123-2155, December.
    12. Loveman, Mara, 2014. "National Colors: Racial Classification and the State in Latin America," OUP Catalogue, Oxford University Press, number 9780199337361.
    13. Solon, Gary, 1992. "Intergenerational Income Mobility in the United States," American Economic Review, American Economic Association, vol. 82(3), pages 393-408, June.
    14. Debopam Bhattacharya & Bhashkar Mazumder, 2011. "A nonparametric analysis of black–white differences in intergenerational income mobility in the United States," Quantitative Economics, Econometric Society, vol. 2(3), pages 335-379, November.
    15. Miles Corak, 0. "The Canadian Geography of Intergenerational Income Mobility," Economic Journal, Royal Economic Society, vol. 130(631), pages 2134-2174.
    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. Monroy-Gómez-Franco, Luis, 2023. "Shades of social mobility: Colorism, ethnic origin and intergenerational social mobility," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 247-266.
    2. Monroy-Gómez-Franco, Luis Angel, 2022. "Regional comparisons of intergenerational social mobility: the importance of positional mobility," SocArXiv zgfvk, Center for Open Science.
    3. Paloma Villagómez-Ornelas & Luis Monroy-Gómez-Franco, 2021. "Economic Inequality meets Social Stratification: An Application of Stratification Economics to Mexico," Papers 2021_03, Centro de Estudios Espinosa Yglesias.
    4. Monroy-Gómez-Franco, Luis & Vélez-Grajales, Roberto & Yalonetzky, Gastón, 2021. "Layers of inequality: Unequal opportunities and skin colour in Mexico," MPRA Paper 106605, University Library of Munich, Germany.
    5. Monroy-Gómez-Franco, Luis, 2023. "The importance of positional mobility for regional comparisons," Research in Economics, Elsevier, vol. 77(3), pages 322-333.

    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. Bhashkar Mazumder, 2014. "Black–White Differences in Intergenerational Economic Mobility in the U.S," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q I.
    2. Feng, Qundi & He, Qinying, 2022. "Does parental migration increase upward intergenerational mobility? Evidence from rural China," Economic Modelling, Elsevier, vol. 115(C).
    3. Florencia Torche, 2015. "Analyses of Intergenerational Mobility," The ANNALS of the American Academy of Political and Social Science, , vol. 657(1), pages 37-62, January.
    4. Brantly Callaway & Weige Huang, 2019. "Local Intergenerational Elasticities," Economics Bulletin, AccessEcon, vol. 39(2), pages 919-928.
    5. Leone, Tharcisio, 2019. "The geography of intergenerational mobility: Evidence of educational persistence and the "Great Gatsby Curve" in Brazil," GIGA Working Papers 318, GIGA German Institute of Global and Area Studies.
    6. Martti Kaila & Emily Nix & Krista Riukula, 2021. "Disparate Impacts of Job Loss by Parental Income and Implications for Intergenerational Mobility," Opportunity and Inclusive Growth Institute Working Papers 53, Federal Reserve Bank of Minneapolis.
    7. Neidhöfer, Guido & Serrano, Joaquín & Gasparini, Leonardo, 2018. "Educational inequality and intergenerational mobility in Latin America: A new database," Journal of Development Economics, Elsevier, vol. 134(C), pages 329-349.
    8. Brea-Martinez, Gabriel, 2021. "The beneficial impact of mother’s work on children’s absolute income mobility, Southern Sweden (1947-2015)," SocArXiv c27s8, Center for Open Science.
    9. Minchul Yum, 2023. "Parental Time Investment And Intergenerational Mobility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(1), pages 187-223, February.
    10. Chenhong Peng & Paul Siu Fai Yip & Yik Wa Law, 2019. "Intergenerational Earnings Mobility and Returns to Education in Hong Kong: A Developed Society with High Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 133-156, May.
    11. Elisa Jácome & Ilyana Kuziemko & Suresh Naidu, 2021. "Mobility for All: Representative Intergenerational Mobility Estimates over the 20th Century," Working Papers 302, Princeton University, Department of Economics, Center for Economic Policy Studies..
    12. Daniel D. Schnitzlein, 2016. "A New Look at Intergenerational Mobility in Germany Compared to the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(4), pages 650-667, December.
    13. De Nardi, Mariacristina & Yang, Fang, 2016. "Wealth inequality, family background, and estate taxation," Journal of Monetary Economics, Elsevier, vol. 77(C), pages 130-145.
    14. Bertrand Garbinti & Frédérique Savignac, 2020. "Accounting for Intergenerational Wealth Mobility in France over the 20th Century: Method and Estimations," Working papers 776, Banque de France.
    15. Anja Gaentzsch & Gabriela Zapata Román, 2018. "More educated, less mobile? Diverging trends in income and educational mobility in Chile and Peru," Global Development Institute Working Paper Series 312018, GDI, The University of Manchester.
    16. Chu, Luke Yu-Wei & Lin, Ming-Jen, 2016. "Economic development and intergenerational earnings mobility: Evidence from Taiwan," Working Paper Series 19495, Victoria University of Wellington, School of Economics and Finance.
    17. Tharcisio Leone, 2019. "The Geography of Intergenerational Mobility: Evidence of Educational Persistence and the “Great Gatsby Curve" in Brazil," Documentos de Trabajo 17526, The Latin American and Caribbean Economic Association (LACEA).
    18. De Giorgi, Giacomo & Gambetti, Luca & Naguib, Costanza, 2020. "Life-Cycle Inequality: Blacks And Whites Differentials In Life Expectancy, Savings, Income, And Consumption," CEPR Discussion Papers 15182, C.E.P.R. Discussion Papers.
    19. Markus Jäntti & Stephen P. Jenkins, 2013. "Income Mobility," SOEPpapers on Multidisciplinary Panel Data Research 607, DIW Berlin, The German Socio-Economic Panel (SOEP).
    20. Martin Wittenberg & Murray Leibbrandt, 2017. "Measuring Inequality by Asset Indices: A General Approach with Application to South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 706-730, December.

    More about this item

    Keywords

    Skin tone; Social mobility; Regions; Mexico;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • J6 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty

    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:spr:joerap:v:4:y:2021:i:4:d:10.1007_s41996-020-00062-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.