White Paper

From 2020 Personal, Social, Health and Economic Education will be compulsory in UK schools for adolescents, however less is known about how it can be taught in a an effective manner. We examine, through a randomised trial, the impact of an evidenced based health related quality of life (HRQoL) curriculum called Healthy Minds that ran in 34 high schools in England over a four-year period. We find robust evidence that Healthy Minds positively augments many physical health domains of treated adolescents. We also find some evidence that Healthy Minds positively affects behaviour, but has no impact on emotional wellbeing. We find notable gender effects, strongly favouring boys. We also present evidence that Healthy Minds changes career aspirations, with those exposed to treatment being less likely to choose competitive work and more likely to choose work that involves "people-skills". Overall our work illustrates the potential for later childhood interventions to promote HRQoL and develop the career aspirations of adolescents.

In this paper, we compare wages and labor market conditions of individuals engaged in online platform work and in traditional occupations by exploiting individual-level survey data on crowdworkers belonging to the largest micro-task marketplaces, focusing on evidence from the United States and Europe. To match similar individuals, survey responses of crowdworkers from the US and EU have been harmonised with the American Working Conditions Survey (AWCS) and the European Working Conditions Survey (EWCS). Our findings indicate that traditional workers retain a significant premium in their earnings with respect to online platform workers, and that those differences are not affected by the observed and unobserved ability of individuals. This holds true also taking into account similar levels of routine intensity and abstractness in their jobs, as well as the time spent working. Moreover, labour force in crowdworking arrangements appears to suffer from high levels of under-utilisation, with crowdworkers being more likely to be left wanting for more work than comparable individuals.

This paper looks at the economic impact of digital labour platforms.

While skilled immigration ceteris paribus provides an immediate boost to GDP per capita by adding to the human capital stock of the receiving economy, might it also reduce the number of ’good jobs’, i.e. those with training, available to indigenous workers? This paper analyzes this issue theoretically and empirically. The theoretical model shows how skilled immigration may affect the sectoral allocation of labor and how it may have a positive or negative effect on the training and social mobility of native born workers. The empirical analysis uses UK data from 2001 to 2018 to show that training rates of UK born workers have declined in a period where immigration has been rising strongly, and have declined significantly more in high wage nontraded sectors. At the sectoral level however this link is much less strong but there is evidence of different effects of skilled immigration across traded and non-traded sectors and evidence that the hiring of UK born workers in high wage non-traded sectors has been negatively affected by skilled immigration, although this effect is not large. Taken together the theoretical and empirical analyses suggest that skilled immigration may have some role in allocating native born workers away from ’good jobs’ sectors but it is unlikely to be a major driver of social mobility.

Understanding the causal association between skills and productivity is essential for designing effective training programs. This paper evaluates an intervention aimed at boosting leadership and communication skills among store managers and sales associates from a large Latin American retailer. The empirical analysis is carried out using longitudinal information gathered by the firm and through two skills surveys. The Identification exploits the experimental design in the context of a difference-in-difference strategy. The results indicate large positive effects of the training program on store-level productivity. We further link these Findings to individual-level performance measures. In particular, we document positive effects on total sales and numbers of transactions for all workers. Regarding the mechanisms, we provide evidence suggesting that the intervention was more effective in boosting leadership skills than communication skills. Spillovers from trained managers to untrained sales representatives also contribute to the main effects. Our findings point towards the possibility of increasing productivity through training programs targeting critical skills.

Artificial Intelligence is set to influence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labor can be productively employed. The consequences of this choice have been stagnating labor demand, declining labor share in national income, rising inequality and lower productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the 'right' kind of AI with better economic and social outcomes.

In this discussion paper, we look at how vocational education and training (VET) supports lifelong learners. We explore VET’s role in assisting lifelong learning and seek to understand how VET will need to transform in the future to enable it to confront the challenges of an increasingly complex and changing world. We also profile the various lifelong learner types.

We examine the labor market consequences of an exogenous increase in the supply of skilled labor in several cities in Norway, resulting from the construction of new colleges in the 1970s. We find that skilled wages increased as a response, suggesting that along with an increase in the supply there was also an increase in demand for skill. We also show that college openings led to an increase in the productivity of skilled labor and investments in R&D. Our findings are consistent with models of endogenous technical change where an abundance of skilled workers may encourage firms to adopt skill-complementary technologies, leading to an upward-sloping long-run demand for skill.

After a number of AI-winters, AI is back with a boom. There are concerns that it will disrupt society. The immediate concern is whether labor can win a 'race against the robots' and the longer-term concern is whether an artificial general intelligence (super-intelligence) can be controlled. This paper describes the nature and context of these concerns, reviews the current state of the empirical and theoretical literature in economics on the impact of AI on jobs and inequality, and discusses the challenge of AI arms races. It is concluded that despite the media hype neither massive jobs losses nor a 'Singularity' are imminent. In part, this is because current AI, based on deep learning, is expensive and difficult for (especially small) businesses to adopt, can create new jobs, and is an unlikely route to the invention of a super-intelligence. Even though AI is unlikely to have either utopian or apocalyptic impacts, it will challenge economists in coming years. The challenges include regulation of data and algorithms; the (mis-) measurement of value added; market failures, anti-competitive behaviour and abuse of market power; surveillance, censorship, cybercrime; labor market discrimination, declining job quality; and AI in emerging economies.