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Is Nepotism Inevitable Under Search and Matching Friction?

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  • Mazumder, Debojyoti
  • Biswas, Rajit

Abstract

The present article develops a search and matching framework to model political nepotism in the job market. The model argues that labor market friction generates incentives for the political leaders to provide nepotism under a democratic set up. Both the leaders optimally choose nepotism when the labor market friction is higher. It is shown that even for a relatively lesser labor market friction at least one leader would always choose nepotism. The results of the basic model remain robust in an extension where followers can pay a price and choose their allegiance, to any one of the political parties.

Suggested Citation

  • Mazumder, Debojyoti & Biswas, Rajit, 2018. "Is Nepotism Inevitable Under Search and Matching Friction?," MPRA Paper 89836, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:89836
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    References listed on IDEAS

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    1. Yannis M. Ioannides & Linda Datcher Loury, 2004. "Job Information Networks, Neighborhood Effects, and Inequality," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1056-1093, December.
    2. Fontaine, Francois, 2007. "A simple matching model with social networks," Economics Letters, Elsevier, vol. 94(3), pages 396-401, March.
    3. Charlot, Olivier & Decreuse, Bruno, 2005. "Self-selection in education with matching frictions," Labour Economics, Elsevier, vol. 12(2), pages 251-267, April.
    4. 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.
    5. Rueda, David, 2006. "Social Democracy and Active Labour-Market Policies: Insiders, Outsiders and the Politics of Employment Promotion," British Journal of Political Science, Cambridge University Press, vol. 36(3), pages 385-406, July.
    6. Christopher A. Pissarides, 2000. "Equilibrium Unemployment Theory, 2nd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262161877, December.
    7. Chang-Tai Hsieh & Edward Miguel & Daniel Ortega & Francisco Rodriguez, 2011. "The Price of Political Opposition: Evidence from Venezuela's Maisanta," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 196-214, April.
    8. Semih Tumen, 2016. "Informal versus formal search: Which yields better pay?," International Journal of Economic Theory, The International Society for Economic Theory, vol. 12(3), pages 257-277, September.
    9. Samuel Bentolila & Claudio Michelacci & Javier Suarez, 2010. "Social Contacts and Occupational Choice," Economica, London School of Economics and Political Science, vol. 77(305), pages 20-45, January.
    10. Marcel Fafchamps & Julien Labonne, 2017. "Do Politicians’ Relatives Get Better Jobs? Evidence from Municipal Elections," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 33(2), pages 268-300.
    11. Rueda, David, 2005. "Insider–Outsider Politics in Industrialized Democracies: The Challenge to Social Democratic Parties," American Political Science Review, Cambridge University Press, vol. 99(1), pages 61-74, February.
    12. 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, pages 1201-1226, November.
    13. Sam Asher & Paul Novosad, 2017. "Politics and Local Economic Growth: Evidence from India," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 229-273, January.
    14. Margaret Stevens, 2007. "New Microfoundations For The Aggregate Matching Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(3), pages 847-868, August.
    15. Simon, Curtis J & Warner, John T, 1992. "Matchmaker, Matchmaker: The Effect of Old Boy Networks on Job Match Quality, Earnings, and Tenure," Journal of Labor Economics, University of Chicago Press, vol. 10(3), pages 306-330, July.
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    More about this item

    Keywords

    search and matching; nepotism; political regime change;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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