IDEAS home Printed from https://ideas.repec.org/p/ise/isegwp/wp152014.html

The dynamics of innovation in job search strategies: some empirical findings

Author

Listed:
  • Tanya Araújo
  • David Neves
  • Sven Banisch

Abstract

We construct a database from the first 2011 wave of the Portuguese Labor Force Survey and analyze the transitions between labor market states and job search methods during six quarters. In Portugal, the individuals who use more formal job search methods are more likely to get a stable state of employment, while informal contacts, private agencies or newspaper adverts tend to lead to a permanent state of job seeking.

Suggested Citation

  • Tanya Araújo & David Neves & Sven Banisch, 2014. "The dynamics of innovation in job search strategies: some empirical findings," Working Papers Department of Economics 2014/15, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
  • Handle: RePEc:ise:isegwp:wp152014
    as

    Download full text from publisher

    File URL: https://depeco.iseg.ulisboa.pt/wp/wp152014.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Montgomery, James D, 1991. "Social Networks and Labor-Market Outcomes: Toward an Economic Analysis," American Economic Review, American Economic Association, vol. 81(5), pages 1407-1418, December.
    2. Mark Granovetter, 2005. "The Impact of Social Structure on Economic Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 19(1), pages 33-50, Winter.
    3. Bramoullé, Yann & Saint-Paul, Gilles, 2010. "Social networks and labor market transitions," Labour Economics, Elsevier, vol. 17(1), pages 188-195, January.
    4. Giorgio Topa, 2001. "Social Interactions, Local Spillovers and Unemployment," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 261-295.
    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. Buhai, I. Sebastian & van der Leij, Marco J., 2023. "A Social Network Analysis of Occupational Segregation," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    2. Federico Cingano & Alfonso Rosolia, 2006. "People I Know: Workplace Networks and Job Search Outcomes," Temi di discussione (Economic working papers) 600, Bank of Italy, Economic Research and International Relations Area.
    3. María Paz Espinosa & Jaromír Kovárík & Sofía Ruíz-Palazuelos, 2021. "Are close-knit networks good for employment?," Working Papers 21.06, Universidad Pablo de Olavide, Department of Economics.
    4. Jose Garcia‐Louzao & Marta Silva, 2024. "Coworker networks and the labor market outcomes of displaced workers: Evidence from Portugal," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 63(3), pages 389-413, July.
    5. Adnan Q. Khan & Steven F. Lehrer, 2013. "The Impact of Social Networks on Labour Market Outcomes: New Evidence from Cape Breton," Canadian Public Policy, University of Toronto Press, vol. 39(s1), pages 1-24, May.
    6. Andreia Tolciu, 2010. "The Economics of Social Interactions: An Interdisciplinary Ground for Social Scientists?," Forum for Social Economics, Taylor & Francis Journals, vol. 39(3), pages 223-242, January.
    7. Lars Kunze & Nicolai Suppa, 2014. "Bowling Alone or Bowling at All? The Effect of Unemployment on Social Participation," Ruhr Economic Papers 0510, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    8. Damm, Anna Piil, 2014. "Neighborhood quality and labor market outcomes: Evidence from quasi-random neighborhood assignment of immigrants," Journal of Urban Economics, Elsevier, vol. 79(C), pages 139-166.
    9. Fafchamps, Marcel & Islam, Asad & Malek, Mohammad Abdul & Pakrashi, Debayan, 2020. "Can referral improve targeting? Evidence from an agricultural training experiment," Journal of Development Economics, Elsevier, vol. 144(C).
    10. Cuéllar Martín, Jaime & Martín-Román, Ángel L. & Moral, Alfonso, 2017. "A composed error model decomposition and spatial analysis of local unemployment," MPRA Paper 79783, University Library of Munich, Germany.
    11. Harris Selod & Yves Zenou, 2006. "City Structure, Job Search and Labour Discrimination: Theory and Policy Implications," Economic Journal, Royal Economic Society, vol. 116(514), pages 1057-1087, October.
    12. Manolis Galenianos, 2021. "Referral Networks and Inequality [Statistical theories of discrimination in labor markets]," The Economic Journal, Royal Economic Society, vol. 131(633), pages 271-301.
    13. Judith K. Hellerstein & Melissa McInerney & David Neumark, 2011. "Neighbors and Coworkers: The Importance of Residential Labor Market Networks," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 659-695.
    14. Hou, Benyufang & Liu, Hong & Wang, Sophie Xuefei, 2020. "Returns to military service in off-farm wage employment: Evidence from rural China," China Economic Review, Elsevier, vol. 59(C).
    15. Oomes, Nienke, 2003. "Local trade networks and spatially persistent unemployment," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2115-2149, September.
    16. Dariel, Aurelie & Riedl, Arno & Siegenthaler, Simon, 2021. "Referral hiring and wage formation in a market with adverse selection," Games and Economic Behavior, Elsevier, vol. 130(C), pages 109-130.
    17. Zenou, Yves, 2011. "Spatial versus Social Mismatch: The Strength of Weak Ties," Research Papers in Economics 2011:5, Stockholm University, Department of Economics.
    18. Jing He, 2022. "Executive Network Centrality and Corporate Reporting," Management Science, INFORMS, vol. 68(2), pages 1512-1536, February.
    19. Yves Zenou, 2015. "A Dynamic Model of Weak and Strong Ties in the Labor Market," Journal of Labor Economics, University of Chicago Press, vol. 33(4), pages 891-932.

    More about this item

    Keywords

    ;
    ;

    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:ise:isegwp:wp152014. 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: Vitor Escaria (email available below). General contact details of provider: https://aquila.iseg.ulisboa.pt/aquila/departamentos/EC .

    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.