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Network Centrality in Labor Markets and Wage Dynamics

Author

Listed:
  • Marcelo Arbex

    (Department of Economics, University of Windsor)

  • Ricardo Freguglia

    (Department of Economics, Federal University of Juiz de Fora)

  • Rafael Siano

    (Department of Economics, Federal University of Juiz de Fora)

Abstract

Network centrality measures how important an individual is for his network overall. We construct a novel measure of network centrality that takes into account a worker’s and coworkers’ tenure in the same occupation and firm. Using a linked employer-employee data source - the Brazilian Annual Social Information Report (RAIS) - we follow Brazilian workers in the formal labor market and we estimate the effects of a worker’s network centrality on their wages. For the period 2008-2013, we identify job networks and calculate a centrality index for workers in the city of São Paulo – Brazil. We present empirical evidence that job network relevance, measure by our centrality index, is important to explain wage differentials in the labor market. The wage returns are shown to be higher for those workers employed in larger companies, as well as for workers who have higher tenure. We also identify a positive relationship between a worker’s centrality index and his wage, which suggests that an increase of a worker’s relative relevance in his network is associated to higher wages. We believe that our study sheds light on the extent to which a worker’s importance in his job network can influence his wage over time.

Suggested Citation

  • Marcelo Arbex & Ricardo Freguglia & Rafael Siano, 2016. "Network Centrality in Labor Markets and Wage Dynamics," Working Papers 1609, University of Windsor, Department of Economics.
  • Handle: RePEc:wis:wpaper:1609
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    References listed on IDEAS

    as
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    4. Gregg, Paul & Wadsworth, Jonathan, 1996. "How Effective Are State Employment Agencies? Jobcentre Use and Job Matching in Britain," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 443-467, August.
    5. Abhijit Banerjee & Arun G Chandrasekhar & Esther Duflo & Mathew O. Jackson, 2014. "Gossip: Identifying Central Individuals in a Social Network," Working Papers id:5925, eSocialSciences.
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    Cited by:

    1. Alessio Tomelleri, 2021. "Temporary jobs and increasing inequality for recent cohorts in Italy," LABOUR, CEIS, vol. 35(4), pages 500-537, December.

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    More about this item

    Keywords

    Network centrality; Wage differentials; Peer effects; Labor markets;
    All these keywords.

    JEL classification:

    • 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
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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