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Bert van Landeghem

University of Sheffield, UK, and IZA, Germany

IZA World of Labor role

Author

Current position

Lecturer in Economics, University of Sheffield, UK

Research interest

Labor markets, well-being, econometrics, developing countries

Website

https://www.sheffield.ac.uk/economics/staff/academic/bert-van-landeghem

Past positions

Research Centre for Education and the Labour Market (ROA), University of Maastricht (the Netherlands) (April 2010–September 2015); Research/teaching assistant at LICOS Centre for Institutions and Economic Performance, University of Leuven, Belgium (October 2005–April 2010)

Qualifications

PhD in Economics, University of Leuven, Belgium, 2010

Selected publications

  • "A test for the convexity of human well-being over the life cycle: Evidence from a 20-year panel." Journal of Economic Behavior and Organization 81 (2012): 571–582.

  • "Land and happiness: Land distribution and subjective well-being in Moldova." Eastern European Economics 51 (2013): 61–85 (with J. Swinnen and L. Vranken).

  • "The course of subjective well-being over the life cycle." Schmollers Jahrbuch/Journal of Applied Social Science Studies129 (2009): 261–267.

  • "Imitative obesity and relative utility." Journal of the European Economic Association 7 (2009): 528–538 (with D. G. Blanchflower and A. J. Oswald).

article(s)

  • Statistical profiling of unemployed jobseekers

    The increasing availability of big data allows for the profiling of unemployed jobseekers via statistical models

    Bert van Landeghem Sam Desiere Ludo Struyven , February 2021
    Statistical models can help public employment services to identify factors associated with long-term unemployment and to identify at-risk groups. Such profiling models will likely become more prominent as increasing availability of big data combined with new machine learning techniques improve their predictive power. However, to achieve the best results, a continuous dialogue between data analysts, policymakers, and case workers is key. Indeed, when developing and implementing such tools, normative decisions are required. Profiling practices can misclassify many individuals, and they can reinforce but also prevent existing patterns of discrimination.
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