Browsing by Author "Nansamba, Aisha"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    The Labor Market Impacts of Soft Skills Certificates
    (Growth and Labor Markets in Low Income Countries Programme, 2018) Bassi, Vittorio; Nansamba, Aisha; Rasul, Imran
    Unemployment and underemployment are key policy challenges in the developing world, and particularly in Africa, where the number of unemployed individuals is projected to increase by 1.1 million per year, and where the number of workers earning less than $3.10 per day is expected to rise by 3.9 million in 2018 alone [ILO 2017]. Understanding which factors contribute to high unemployment levels and low wages is thus of primary importance for informing the design of development policies in Africa and elsewhere. In this policy brief we report the findings from a labor market intervention we conducted in Uganda to study whether difficulties workers face in signaling their soft skills to potential employers reduce the employment opportunities of young workers and contribute to their low wages. Our headline results show that workers receiving a certificate on soft skills did not increase their probability of employment, but earned 11% more while employed in the two years post intervention.
  • Thumbnail Image
    Item
    SCREENING AND SIGNALLING NON-COGNITIVE SKILLS: EXPERIMENTAL EVIDENCE FROM UGANDA∗
    (Oxford University Press, 2022-02) Bassi, Vittorio; Nansamba, Aisha
    We study how employers and job seekers respond to credible information on skills that are difficult to observe, and how this affects matching in the labour market. We experimentally vary whether certificates on workers’ non-cognitive skills are disclosed to both sides of the market during job interviews between young workers and small firms in Uganda. The certificates cause workers to increase their labour market expectations, while high-ability managers revise their assessments of the workers’ skills upwards. The reaction in terms of beliefs leads to an increase in positive assortative matching and to higher earnings for workers, conditional on employment.