IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp476.html
   My bibliography  Save this paper

Human Capital versus Social Capital: A Comparative Analysis of Immigrant Wages and Labor Market Incorporation in Japan and the United States

Author

Listed:
  • Cornelius, Wayne A.

    (University of California, San Diego)

  • Tsuda, Takeyuki

    (University of California, San Diego)

  • Valdez, Zulema

    (University of Michigan)

Abstract

The most commonly used model of labor market incorporation among immigrants in the United States analyzes their earnings largely as a function of human capital variables such as education, language competence, age, length of residence and employment experience in the receiving country. However, such a simple model is not necessarily cross-culturally applicable and may lose much of its explanatory power in other societies, where immigrants encounter different labor market conditions. This paper estimates multivariate models of wage determination among samples of foreign workers interviewed in 1996 in San Diego County, California, and the Japanese industrial city of Hamamatsu. In contrast to San Diego, the standard measures of achieved human capital do not significantly influence immigrant wages in Hamamatsu. Instead, ascribed human capital (e.g., gender, ethnicity) has a much greater impact on immigrant wages in Japan than in the United States. Although the use of social networks by immigrants to find jobs has a significant impact on wages in both countries, the effect is positive in Hamamatsu, whereas it is negative in San Diego. The paper draws on data from ethnographic studies in Japan and California to suggest explanations for these divergent results. More generally, the paper illustrates the importance of reception contexts (host societies) in determining labor market outcomes for immigrant workers.

Suggested Citation

  • Cornelius, Wayne A. & Tsuda, Takeyuki & Valdez, Zulema, 2002. "Human Capital versus Social Capital: A Comparative Analysis of Immigrant Wages and Labor Market Incorporation in Japan and the United States," IZA Discussion Papers 476, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp476
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp476.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1.
    2. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    3. Yoram Ben-Porath, 1967. "The Production of Human Capital and the Life Cycle of Earnings," Journal of Political Economy, University of Chicago Press, vol. 75(4), pages 352-352.
    Full references (including those not matched with items on IDEAS)

    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. repec:dau:papers:123456789/4924 is not listed on IDEAS
    2. Felicia Ionescu, 2011. "Risky Human Capital and Alternative Bankruptcy Regimes for Student Loans," Journal of Human Capital, University of Chicago Press, vol. 5(2), pages 153-206.
    3. Edward Lazear, 1977. "Schooling as a Wage Depressant," Journal of Human Resources, University of Wisconsin Press, vol. 12(2), pages 164-176.
    4. Tony Smith & M. Fatih Guvenen, 2007. "Inferring Labor Income Risk from Economic Choices: An Indirect Inference Approach," 2007 Meeting Papers 1024, Society for Economic Dynamics.
    5. Daehaeng Kim & Chul-In Lee, 2007. "On-the-Job Human Capital Accumulation in a Real Business Cycle Model: Implications for Intertemporal Substitution Elasticity and Labor Hoarding," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 494-518, July.
    6. Saïd Hanchane & Abraham Lioui & David Touahri, 2006. "Human capital as a risky asset and the effect of uncertainty on the decision to invest," Working Papers halshs-00010139, HAL.
    7. Thomas Dohmen & Armin Falk, 2010. "You Get What You Pay For: Incentives and Selection in the Education System," Economic Journal, Royal Economic Society, vol. 120(546), pages 256-271, August.
    8. Bram Wouterse & Karen Wiel & Marc Steeg, 2017. "Income Differences Between PhDs and Masters: Evidence from The Netherlands," De Economist, Springer, vol. 165(4), pages 439-461, December.
    9. Holger Strulik & Katharina Werner, 2016. "50 is the new 30—long-run trends of schooling and retirement explained by human aging," Journal of Economic Growth, Springer, vol. 21(2), pages 165-187, June.
    10. Marc van der Steeg & Karen van der Wiel & Bram Wouterse, 2014. "Individual Returns to a PhD Education in the Netherlands: Income Differences between Masters and PhDs," CPB Discussion Paper 276, CPB Netherlands Bureau for Economic Policy Analysis.
    11. Strulik, Holger & Werner, Katharina, 2014. "Elite education, mass education, and the transition to modern growth," University of Göttingen Working Papers in Economics 205, University of Goettingen, Department of Economics.
    12. Gouskova, Elena & Chiteji, Ngina & Stafford, Frank, 2010. "Estimating the intergenerational persistence of lifetime earnings with life course matching: Evidence from the PSID," Labour Economics, Elsevier, vol. 17(3), pages 592-597, June.
    13. Jie Gong & Ang Sun & Zhichao Wei, 2018. "Choosing the Pond: On-the-Job Experience and Long-Run Career Outcomes," Management Science, INFORMS, vol. 64(2), pages 860-872, February.
    14. Córdoba, Juan Carlos & Ripoll, Marla, 2013. "What explains schooling differences across countries?," Journal of Monetary Economics, Elsevier, vol. 60(2), pages 184-202.
    15. Jin, Wei & Zhang, ZhongXiang, 2016. "On the mechanism of international technology diffusion for energy technological progress," Resource and Energy Economics, Elsevier, vol. 46(C), pages 39-61.
    16. Christiansen, Charlotte & Nielsen, Helena Skyt, 2002. "The Educational Asset Market: A Finance Perspective on Human Capital Investment," Working Papers 02-10, University of Aarhus, Aarhus School of Business, Department of Economics.
    17. Filipe Almeida-Santos & Karen Mumford, 2006. "Employee Training, Wage Dispersion and Equality in Britain," Discussion Papers 06/14, Department of Economics, University of York.
    18. Lazear, Edward P, 1976. "Age, Experience, and Wage Growth," American Economic Review, American Economic Association, vol. 66(4), pages 548-558, September.
    19. Christian Belzil & Jörgen Hansen, 2004. "Earnings Dispersion, Risk Aversion And Education," Research in Labor Economics, in: Accounting for Worker Well-Being, pages 335-358, Emerald Group Publishing Limited.
    20. repec:eee:labchp:v:3:y:1999:i:pb:p:2373-2437 is not listed on IDEAS
    21. Parent, Daniel, 2002. "Matching, human capital, and the covariance structure of earnings," Labour Economics, Elsevier, vol. 9(3), pages 375-404, July.
    22. Huggett, Mark & Ventura, Gustavo & Yaron, Amir, 2006. "Human capital and earnings distribution dynamics," Journal of Monetary Economics, Elsevier, vol. 53(2), pages 265-290, March.

    More about this item

    Keywords

    social networks; wage determination; immigrants; labor brokerage;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    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:iza:izadps:dp476. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.