IDEAS home Printed from https://ideas.repec.org/p/cgs/wpaper/85.html
   My bibliography  Save this paper

Clicking towards Mozambique's New Jobs: A research note

Author

Listed:
  • Pedro S. Martins

Abstract

Online jobs portals can be an important source of labour market information, also in developing countries. This paper presents an illustration from Mozambique, a country that has exhibited high economic growth rates but limited employment creation as other countries in Sub-Saharan Africa. First, we highlight the potential but also pitfalls of these portals in characterising and improving the functioning of the labour market. We then analyse the micro (mouse-click-level) data made available by a portal focused on the formal sector of the Mozambique labour market. Our evidence is also consistent with high levels of unemployment and or underemployment. The findings are also suggestive of mismatches between labour demand and the supply of schooling and training.

Suggested Citation

  • 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.
    • Handle: RePEc:cgs:wpaper:85
    as

    Download full text from publisher

    File URL: http://cgr.sbm.qmul.ac.uk/CGRWP85.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Louise Fox & Alun H. Thomas & Cleary Haines, 2017. "Structural Transformation in Employment and Productivity; What Can Africa Hope For?," IMF Departmental Papers / Policy Papers 2017/002, International Monetary Fund.
    2. Marinescu, Ioana, 2017. "The general equilibrium impacts of unemployment insurance: Evidence from a large online job board," Journal of Public Economics, Elsevier, vol. 150(C), pages 14-29.
    3. Michèle Belot & Philipp Kircher & Paul Muller, 2019. "Providing Advice to Jobseekers at Low Cost: An Experimental Study on Online Advice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1411-1447.
    4. repec:ilo:ilowps:434041 is not listed on IDEAS
    5. Peter Kuhn & Kailing Shen, 2015. "Do employers prefer migrant workers? Evidence from a Chinese job board," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-31, December.
    6. Peter Kuhn & Kailing Shen, 2013. "Gender Discrimination in Job Ads: Evidence from China," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 287-336.
    7. R. Jason Faberman & Marianna Kudlyak, 2016. "What Does Online Job Search Tell Us about the Labor Market?," Economic Perspectives, Federal Reserve Bank of Chicago, issue 1, pages 1-15.
    8. Peter Kuhn & Hani Mansour, 2014. "Is Internet Job Search Still Ineffective?," Economic Journal, Royal Economic Society, vol. 124(581), pages 1213-1233, December.
    9. Lucia Kureková & Miroslav Beblavý & Anna Thum-Thysen, 2015. "Using online vacancies and web surveys to analyse the labour market: a methodological inquiry," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-20, December.
    10. Sparreboom, Theo. & Powell, Marcus,, 2009. "Labour market information and analysis for skills development," ILO Working Papers 994340413402676, International Labour Organization.
    11. Jonas Hjort & Jonas Poulsen, 2019. "The Arrival of Fast Internet and Employment in Africa," American Economic Review, American Economic Association, vol. 109(3), pages 1032-1079, March.
    12. Leuven, Edwin & Oosterbeek, Hessel, 2011. "Overeducation and Mismatch in the Labor Market," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 283-326, Elsevier.
    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. 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.
    2. He, Chuan & Mau, Karsten & Xu, Mingzhi, 2021. "Trade Shocks and Firms Hiring Decisions: Evidence from Vacancy Postings of Chinese Firms in the Trade War," Labour Economics, Elsevier, vol. 71(C).
    3. Bhuller, Manudeep & Kostøl, Andreas & Vigtel, Trond Christian, 2019. "How Broadband Internet Affects Labor Market Matching," Memorandum 10/2019, Oslo University, Department of Economics.
    4. Nuarpear Lekfuangfu & Voraprapa Nakavachara & Paphatsorn Sawaengsuksant, 2017. "Glancing at Labour Market Mismatch with User-generated Internet Data," PIER Discussion Papers 53, Puey Ungphakorn Institute for Economic Research.
    5. Fabo, B., 2017. "Towards an understanding of job matching using web data," Other publications TiSEM b8b877f2-ae6a-495f-b6cc-9, Tilburg University, School of Economics and Management.
    6. El-Mallakh,Nelly, 2020. "Internet Job Search, Employment, and Wage Growth : Evidence from the Arab Republic of Egypt," Policy Research Working Paper Series 9196, The World Bank.
    7. Cairo, Sofie & Mahlstedt, Robert, 2021. "Transparency of the Welfare System and Labor Market Outcomes of Unemployed Workers," IZA Discussion Papers 14940, Institute of Labor Economics (IZA).
    8. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    9. Morgan Raux, 2019. "Looking for the "Best and Brightest": Hiring difficulties and high-skilled foreign workers," Working Papers halshs-02364921, HAL.
    10. 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.
    11. Gürtzgen, Nicole & (né Nolte), André Diegmann & Pohlan, Laura & van den Berg, Gerard J., 2021. "Do digital information technologies help unemployed job seekers find a job? Evidence from the broadband internet expansion in Germany," European Economic Review, Elsevier, vol. 132(C).
    12. Michèle Belot & Philipp Kircher & Paul Muller, 2022. "How Wage Announcements Affect Job Search—A Field Experiment," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(4), pages 1-67, October.
    13. Altmann, Steffen & Falk, Armin & Jäger, Simon & Zimmermann, Florian, 2018. "Learning about job search: A field experiment with job seekers in Germany," Journal of Public Economics, Elsevier, vol. 164(C), pages 33-49.
    14. Heng Li & Shangguang Yang, 2023. "The Road to Common Prosperity: Can the Digital Countryside Construction Increase Household Income?," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    15. Ioana Marinescu & Ronald Wolthoff, 2020. "Opening the Black Box of the Matching Function: The Power of Words," Journal of Labor Economics, University of Chicago Press, vol. 38(2), pages 535-568.
    16. Michèle Belot & Philipp Kircher & Paul Muller, 2019. "Providing Advice to Jobseekers at Low Cost: An Experimental Study on Online Advice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(4), pages 1411-1447.
    17. Stefano Caria & Simon Franklin & Marc Witte, 2023. "Searching with Friends," Journal of Labor Economics, University of Chicago Press, vol. 41(4), pages 887-922.
    18. Brad Hershbein & Lisa B. Kahn, 2018. "Do Recessions Accelerate Routine-Biased Technological Change? Evidence from Vacancy Postings," American Economic Review, American Economic Association, vol. 108(7), pages 1737-1772, July.
    19. R. Jason Faberman & Andreas I. Mueller & Ayşegül Şahin & Giorgio Topa, 2022. "Job Search Behavior Among the Employed and Non‐Employed," Econometrica, Econometric Society, vol. 90(4), pages 1743-1779, July.

    More about this item

    Keywords

    Big data; Labour market information systems; Internet; Matching;
    All these keywords.

    JEL classification:

    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:cgs:wpaper:85. 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: Pedro S. Martins (email available below). General contact details of provider: https://edirc.repec.org/data/cgqmwuk.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.