IDEAS home Printed from https://ideas.repec.org/p/wrk/warwec/815.html
   My bibliography  Save this paper

Intergenerational Mobility of Migrants : Is There a Gender Gap?

Author

Listed:
  • Chen, Natalie

    (University of Warwick, CEPR)

  • Conconi, Paola

    (Universit´e Libre de Bruxelles (ECARES) and CEPR)

  • Perroni, Carlo

    (University of Warwick)

Abstract

We examine gender differences in intergenerational patterns of social mobility for second-generation migrants. Empirical studies of social mobility have found that women are generally more mobile than men. Matching theory suggests that this may be because the importance of market characteristics (financial wealth and earning power) relative to non-market characteristics in the marriage market is lesser for women than men, and market characteristics can be intergenerationally more persistent than non-market characteristics. According to this interpretation, the mobility gender gap should be wider for second-generation migrant households, where gender roles remain more pronounced than in the non-migrant population. We explore this conjecture using data from the US General Social Survey. Our results show that daughters of first-generation migrants are intergenerationally more mobile than migrant’s sons, and more so than it is the case for non-migrants’ children.

Suggested Citation

  • Chen, Natalie & Conconi, Paola & Perroni, Carlo, 2007. "Intergenerational Mobility of Migrants : Is There a Gender Gap?," The Warwick Economics Research Paper Series (TWERPS) 815, University of Warwick, Department of Economics.
    • Handle: RePEc:wrk:warwec:815
    as

    Download full text from publisher

    File URL: https://warwick.ac.uk/fac/soc/economics/research/workingpapers/2008/twerp_815.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Laura Chadwick & Gary Solon, 2002. "Intergenerational Income Mobility Among Daughters," American Economic Review, American Economic Association, vol. 92(1), pages 335-344, March.
    2. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    3. Raymond Fisman & Sheena S. Iyengar & Emir Kamenica & Itamar Simonson, 2006. "Gender Differences in Mate Selection: Evidence From a Speed Dating Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 673-697.
    4. George J. Borjas, 2006. "Making it in America: Social Mobility in the Immigrant Population," NBER Working Papers 12088, National Bureau of Economic Research, Inc.
    5. Greenberg, David & Halsey, Harlan, 1983. "Systematic Misreporting and Effects of Income Maintenance Experiments on Work Effort: Evidence from the Seattle-Denver Experiment," Journal of Labor Economics, University of Chicago Press, vol. 1(4), pages 380-407, October.
    6. Borjas, George J, 1993. "The Intergenerational Mobility of Immigrants," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 113-135, January.
    7. Bollinger, Christopher R, 1998. "Measurement Error in the Current Population Survey: A Nonparametric Look," Journal of Labor Economics, University of Chicago Press, vol. 16(3), pages 576-594, July.
    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. repec:zbw:rwirep:0283 is not listed on IDEAS
    2. Luis Ángel Monroy-Gómez-Franco & Roberto Vélez Grajales & Gastón Yalonetzky, 2023. "Unequal Gradients: Sex, Skin Tone and Intergenerational Economic Mobility," Papers 2023_01, Centro de Estudios Espinosa Yglesias.
    3. Flake, Regina, 2011. "Gender Differences in the Intergenerational Earnings Mobility of Second-Generation Migrants," Ruhr Economic Papers 283, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Flake, Regina, 2013. "Gender Differences in the Earnings Mobility of Migrants," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 27(1), pages 58-79.
    5. Michel Beine & Sara Salomone, 2010. "Migration and Networks: Does Education Matter more than Gender?," CESifo Working Paper Series 3010, CESifo.
    6. Regina Flake, 2011. "Gender Differences in the Intergenerational Earnings Mobility of Second-Generation Migrants," Ruhr Economic Papers 0283, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.

    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. Christopher R. Bollinger & Martin H. David, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569, May.
    2. Chen, Natalie; Conconi, Paola; Perroni, Carlo, 2011. "Multi-Trait Matching and Intergenerational Mobility: A Cinderella Story," CAGE Online Working Paper Series 57, Competitive Advantage in the Global Economy (CAGE).
    3. Lynn, Peter & Jäckle, Annette & Sala, Emanuela & P. Jenkins, Stephen, 2004. "Validation of survey data on income and employment: the ISMIE experience," ISER Working Paper Series 2004-14, Institute for Social and Economic Research.
    4. Anna Christina D'Addio, 2007. "Intergenerational Transmission of Disadvantage: Mobility or Immobility Across Generations?," OECD Social, Employment and Migration Working Papers 52, OECD Publishing.
    5. Raj Chetty & Nathaniel Hendren & Patrick Kline & Emmanuel Saez, 2014. "Where is the land of Opportunity? The Geography of Intergenerational Mobility in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1553-1623.
    6. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    7. Michele Lalla & Patrizio Frederic & Daniela Mantovani, 2022. "The inextricable association of measurement errors and tax evasion as examined through a microanalysis of survey data matched with fiscal data: a case study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1375-1401, December.
    8. Adnan, Wifag & Zhang, Jonathan & Zheng, Angela, 2023. "Intergenerational Mobility of Immigrants by Refugee Status: An Analysis of Linked Landing Files and Tax Records," IZA Discussion Papers 16471, Institute of Labor Economics (IZA).
    9. An, Yonghong & Hu, Yingyao, 2012. "Well-posedness of measurement error models for self-reported data," Journal of Econometrics, Elsevier, vol. 168(2), pages 259-269.
    10. Michele Lalla & Maddalena Cavicchioli, 2020. "Nonresponse and measurement errors in income: matching individual survey data with administrative tax data," Department of Economics 0170, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    11. Brian Duncan & Stephen J. Trejo, 2015. "Assessing the Socioeconomic Mobility and Integration of U.S. Immigrants and Their Descendants," The ANNALS of the American Academy of Political and Social Science, , vol. 657(1), pages 108-135, January.
    12. Stüber, Heiko & Grabka, Markus M. & Schnitzlein, Daniel D., 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-8.
    13. Dustmann, Christian & Glitz, Albrecht, 2011. "Migration and Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 327-439, Elsevier.
    14. Brownstone, David & Valletta, Robert G, 1996. "Modeling Earnings Measurement Error: A Multiple Imputation Approach," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 705-717, November.
    15. Stefano Iezzi, 2008. "Investors' risk attitude and risky behavior: a Bayesian approach with imperfect information," Temi di discussione (Economic working papers) 692, Bank of Italy, Economic Research and International Relations Area.
    16. Jenkins, Stephen P. & Rios-Avila, Fernando, 2021. "Reconciling Reports: Modelling Employment Earnings and Measurement Errors Using Linked Survey and Administrative Data," IZA Discussion Papers 14405, Institute of Labor Economics (IZA).
    17. Chul-In Lee & Gary Solon, 2009. "Trends in Intergenerational Income Mobility," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 766-772, November.
    18. Bruce D. Meyer & Nikolas Mittag, 2015. "Using Linked Survey and Administrative Data to Better Measure Income: Implications for Poverty, Program Effectiveness and Holes in the Safety Net," Upjohn Working Papers 15-242, W.E. Upjohn Institute for Employment Research.
    19. Julian Cristia & Jonathan A. Schwabish, 2007. "Measurement Error in the SIPP: Evidence from Matched Administrative Records: Working Paper 2007-03," Working Papers 18322, Congressional Budget Office.
    20. Song, Suyong, 2015. "Semiparametric estimation of models with conditional moment restrictions in the presence of nonclassical measurement errors," Journal of Econometrics, Elsevier, vol. 185(1), pages 95-109.

    More about this item

    Keywords

    Marriage ; Migrants ; Social Mobility;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

    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:wrk:warwec:815. 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: Margaret Nash (email available below). General contact details of provider: https://edirc.repec.org/data/dewaruk.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.