IDEAS home Printed from https://ideas.repec.org/p/ekd/004912/5245.html
   My bibliography  Save this paper

Job Networks in Izmir: Why are Migrants Different?

Author

Listed:
  • Idil Goksel
  • Alper Duman

Abstract

The aim of this paper is to investigate the network effect on the probability of job finding. This paper uses a specific data set from the Izmir region, prepared by the Turkish Statistical Institute for a specific project carried out by Izmir University of Economics in cooperation with the Izmir Commerce Centre, the Izmir branch of the Turkish Statistical Institute and the Turkish Labour Institute. Its aim was to investigate the labour market situation of Izmir and to understand the main problems of labour market and reasons of unemployment and suggest possible policy implications. During this study we found that the migrants who have moved to Izmir five years or more ago have higher probability to find a job than Izmir born ones. The same argument is also valid for the ones who moved less than two years ago. Only the ones that have moved 2-5 years ago have less chance to find a job. These trends show also difference according to the gender. Furthermore, it is found that migrants tend to earn more relative to the natives. This variety made us think that it will be interesting to analyze this subject a bit deeper. Izmir is the third biggest city in Turkey and has been one of the preferred destinations of migrants. Izmir attracts both skilled and unskilled migrants. Moreover, we believe doing such an analysis at a local level is more promising than doing it in the state level, as it will be easier to isolate the network effects in local level. The paper aims to analyze how the network effect differs between skilled and unskilled people and the nonlinearity in the network effects. It is assumed that the more time spent in a city, the larger is the network and quality of the network connections depend on the job seeker’s qualifications. Using Armengol and Jackson (2007) theoretical model and the empirical framework of Munshi (2003), a probit model that estimates the probability of being employed is used. In the model personal characteristics, the sectors, and the number of years spent in Izmir are controlled for. Moreover, the education levels and occupations of the parents are used as proxies for the size and the quality of the network. It is expected to find nonlinearity in network effects. We also expect to find higher influence of quality of network with respect to its dimension. It will be also interesting to investigate whether network effects differ according to the gender or not.

Suggested Citation

  • Idil Goksel & Alper Duman, 2013. "Job Networks in Izmir: Why are Migrants Different?," EcoMod2013 5245, EcoMod.
  • Handle: RePEc:ekd:004912:5245
    as

    Download full text from publisher

    File URL: http://ecomod.net/system/files/goksel-ecomod.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Wahba, Jackline & Zenou, Yves, 2005. "Density, social networks and job search methods: Theory and application to Egypt," Journal of Development Economics, Elsevier, vol. 78(2), pages 443-473, December.
    2. Yves Zenou, 2013. "Social Interactions and the Labor Market," Revue d'économie politique, Dalloz, vol. 123(3), pages 307-331.
    3. Calvo-Armengol, Antoni & Jackson, Matthew O., 2007. "Networks in labor markets: Wage and employment dynamics and inequality," Journal of Economic Theory, Elsevier, vol. 132(1), pages 27-46, January.
    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. Mehmet Bac & Eren Inci, 2010. "The Old‐Boy Network and the Quality of Entrepreneurs," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(4), pages 889-918, December.
    2. Glitz, Albrecht, 2017. "Coworker networks in the labour market," Labour Economics, Elsevier, vol. 44(C), pages 218-230.
    3. Ian M. Schmutte, 2015. "Job Referral Networks and the Determination of Earnings in Local Labor Markets," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 1-32.
    4. Zenou, Yves, 2011. "Spatial versus Social Mismatch: The Strength of Weak Ties," Research Papers in Economics 2011:5, Stockholm University, Department of Economics.
    5. Fernanda Herrera & Gabriel González-König, 2019. "Labor Migrant Networks: Growth, Saturation, and Deflection to New Labor Markets," Networks and Spatial Economics, Springer, vol. 19(2), pages 445-472, June.
    6. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2016. "The Network Composition of Aggregate Unemployment," MPRA Paper 68962, University Library of Munich, Germany.
    7. Andrea Galeotti & Luca Paolo Merlino, 2014. "Endogenous Job Contact Networks," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(4), pages 1201-1226, November.
    8. Eleni Kalfa & Matloob Piracha, 2018. "Social networks and the labour market mismatch," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 877-914, July.
    9. Topa, Giorgio & Zenou, Yves, 2015. "Neighborhood and Network Effects," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 561-624, Elsevier.
    10. Dhillon, Amrita & Iversen, Vegard & Torsvik, Gaute, 2013. "Employee Referral, Social Proximity And Worker Discipline: Theory And Evidence From India," Working Papers in Economics 04/13, University of Bergen, Department of Economics.
    11. Axtell, Robert L. & Guerrero, Omar A. & López, Eduardo, 2019. "Frictional unemployment on labor flow networks," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 184-201.
    12. Zenou, Yves, 2013. "Spatial versus social mismatch," Journal of Urban Economics, Elsevier, vol. 74(C), pages 113-132.
    13. Marco Caliendo & Ricarda Schmidl & Arne Uhlendorff, 2011. "Social networks, job search methods and reservation wages: evidence for Germany," International Journal of Manpower, Emerald Group Publishing Limited, vol. 32(7), pages 796-824, October.
    14. LIU Yang, 2015. "The Role of Individual Social Capital in Wage Determination: Evidence from China," Discussion papers 15133, Research Institute of Economy, Trade and Industry (RIETI).
    15. Zenou, Yves, 2011. "Explaining the Black/White Employment Gap: The Role of Weak Ties," CEPR Discussion Papers 8582, C.E.P.R. Discussion Papers.
    16. Contreras, Dante & Kruger, Diana & Ochoa, Marcelo & Zapata, Daniela, 2007. "The Role of Social Networks in the Economic Opportunities of Bolivian Women," IDB Publications (Working Papers) 3315, Inter-American Development Bank.
    17. Matthew O. Jackson & Brian W. Rogers & Yves Zenou, 2016. "Networks: An Economic Perspective," Papers 1608.07901, arXiv.org.
    18. Dante Contreras & Daniela Zapata & Diana Kruger & Marcelo Ochoa, 2007. "El papel de las redes sociales en las oportunidades económicas de las mujeres de Bolivia," Research Department Publications 3241, Inter-American Development Bank, Research Department.
    19. Dante Contreras Guajardo & Diana kruger & Marcelo Ochoa & Daniela Zapata, 2007. "The role of social networks in employment outcomes of Bolivian women," Working Papers wp251, University of Chile, Department of Economics.
    20. Glitz, Albrecht, 2014. "Ethnic segregation in Germany," Labour Economics, Elsevier, vol. 29(C), pages 28-40.

    More about this item

    Keywords

    Turkey; Labor market issues; Regional modeling;
    All these keywords.

    JEL classification:

    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    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:ekd:004912:5245. 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: Theresa Leary (email available below). General contact details of provider: https://edirc.repec.org/data/ecomoea.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.