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Do Employers Prefer Migrant Workers? Evidence from a Chinese Job Board

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  • Peter Kuhn
  • Kailing Shen

Abstract

We study urban, private sector Chinese employers’ preferences between workers with and without a local permanent residence permit (hukou) using callback information from an Internet job board. We find that these employers prefer migrant workers to locals who are identically matched to the job’s requirements; these preferences are strongest in jobs requiring lower levels of education and offering low pay. While migrant-native payroll tax differentials might account for some of this gap, we argue that the patterns are hard to explain without some role for a migrant productivity advantage in less skilled jobs. Possible sources of this advantage include positive selection of nonlocals into migration, negative selection of local workers into formal search for unskilled private sector jobs, efficiency wage effects related to unskilled migrants’ limited access to the urban social safety net, and intertemporal labor and effort substitution by temporary migrants that makes them more desirable workers.

Suggested Citation

  • Peter Kuhn & Kailing Shen, 2015. "Do Employers Prefer Migrant Workers? Evidence from a Chinese Job Board," NBER Working Papers 21675, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21675
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    2. Vladimír Hlásny, 2017. "Job applicant screening in China and its four pillars," The Economic and Labour Relations Review, , vol. 28(3), pages 455-473, September.
    3. Daniel Kreisman & Jonathan Smith & Bondi Arifin, 2023. "Labor Market Signaling and the Value of College: Evidence from Resumes and the Truth," Journal of Human Resources, University of Wisconsin Press, vol. 58(6), pages 1820-1849.
    4. Brancatelli,Calogero & Marguerie,Alicia Charlene & Koettl-Brodmann,Stefanie, 2020. "Job Creation and Demand for Skills in Kosovo : What Can We Learn from Job Portal Data?," Policy Research Working Paper Series 9266, The World Bank.
    5. Xiahai Wei & Tony Fang & Yang Jiao & Jiahui Li, 2019. "Language Premium Myth or Fact: Evidence from Migrant Workers of Guangdong, China," Journal of Labor Research, Springer, vol. 40(3), pages 356-386, September.
    6. Margaret Maurer-Fazio & Sili Wang, 2018. "Does marital status affect how firms interpret job applicants’ un/employment histories?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(4), pages 567-580, July.
    7. Pedro S. Martins, 2017. "Clicking towards Mozambique's New Jobs: A research note," Working Papers 85, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    8. Peter Kuhn & Kailing Shen, 2023. "What Happens When Employers Can No Longer Discriminate in Job Ads?," American Economic Review, American Economic Association, vol. 113(4), pages 1013-1048, April.
    9. Ernest Boffy-Ramirez & Soojae Moon, 2018. "The role of China’s household registration system in the urban-rural income differential," China Economic Journal, Taylor & Francis Journals, vol. 11(2), pages 108-125, May.
    10. Uwe Dulleck & Jonas Fooken & Yumei He, 2020. "Hukou Status and Individual-Level Labor Market Discrimination: An Experiment in China," ILR Review, Cornell University, ILR School, vol. 73(3), pages 628-649, May.
    11. Eva O. Arceo-Gomez & Raymundo M. Campos-Vazquez & Raquel Y. Badillo & Sergio Lopez-Araiza, 2022. "Gender stereotypes in job advertisements: What do they imply for the gender salary gap?," Journal of Labor Research, Springer, vol. 43(1), pages 65-102, March.

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    More about this item

    JEL classification:

    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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