This paper examines the impact of non-cognitive (socio-emotional) skills on job market outcomes using a randomized control trial implemented in an online job portal in India. Job seekers who registered in the portal were asked to take a Big Five type personality test and, for a random sub-sample of the test takers, the results were displayed to potential employers. Outcomes are measured by whether a potential employer shortlists a seeker by opening (unlocking) his/her application and background information. The results show that the treatment group for whom test results were shown generally enjoyed a higher probability of unlock. That is, employers are more interested in those for whom they can see personality test results. Such a relationship was not seen in the pre-test period, which confirms that the above results are unlikely to be spurious. We also found a significant impact among organized, calm, imaginative and/or quiet applicants (no effect was detected among easy-going, sensitive, realistic and/or out-going applicants), which seems to display employers’ preferences.

This paper examines the impact of noncognitive (socio-emotional) skills on job market outcomes, using a randomized control trial implemented in an online job portal in India. Job seekers who registered in the portal were asked to take a Big-Five type personality test and, for a random subsample of the test takers, the results were displayed to potential employers. The outcomes are measured by whether a potential employer shortlisted a job seeker by opening (unlocking) his/her application and background information. The results show that the treatment group for whom test results were shown generally enjoyed a higher probability of unlock. That is, employers are more interested in those for whom they can see personality test results. Such a relationship was not seen in the pre-test period, which confirms that the results are unlikely to be spurious. The study also finds a significant impact among organized, calm, imaginative, and/or quiet applicants (no effect is detected among easy-going, sensitive, realistic, and/or outgoing applicants), which seems to display employers’ preference.

Informality remains widespread in South Asia despite decades of economic growth. The low earnings and high vulnerability in the informal sector make this a major development issue for the region. Yet, there is no consensus on its causes and consequences, with the debate polarized between a view that informality is a problem of regulatory evasion and should be eradicated, and another that equates informality with economic exclusion. Recent advances in analyzing informality as the outcome of firm dynamics in distorted economic environments can help reconcile them. Building on these advances, the approach adopted in this volume clarifies that there are different types of informality, with different drivers and consequences. The report has four main messages that underscore the need for a multipronged strategy. First, informality in South Asia is dominated by firms that happen to be outside the purview of regulations because they are small, as opposed to those that remain small to escape regulations. Second, reforms of business regulations tend to have small direct effects on the informal sector, although they could have sizable indirect impacts on it if they succeed in removing major inefficiencies in the broader economy. Third, e-commerce platforms offer new opportunities to informal firms and workers, but many of them lack complementary skills or credit to benefit from such technologies. Fourth, a combination of contributory and non-contributory programs recognizing the heterogenous saving capacities of informal workers may be necessary to achieve more universal coverage of social insurance.

Ethiopia has long prioritized creating more and better jobs as core to its sustainable and inclusive development. However, steady growth in the gross domestic product and gains in agricultural productivity in recent decades have not translated into better opportunities nor increased earnings for much of the population. The 2021 Labor Force Survey data reveal labor trends since 1999 and underscore these realities. Moreover, COVID-19 and other shocks have reinforced the disconnect between positive macroeconomic trends at a national level and stagnant incomes at the household level. Working Today for a Better Tomorrow in Ethiopia: Jobs for Poor and Vulnerable Households outlines how Ethiopia can leverage its social safety net programs to help poor and vulnerable workers earn more in today’s labor market. The government’s latest development planning policies focus on private sector growth and structural transformation to create more and better jobs. While these long-term reforms take hold, the jobs agenda also must include near-term measures to improve worker productivity in and connect people to jobs that already exist. Complementing cash transfers with capital, training, and other services can help workers earn more in their current work, diversify into new types of employment, or connect to available wage jobs.These investments can have an immediate impact for poor people in Ethiopia while also contributing to sustainable and inclusive development.

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 labor 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 labor 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.

Cognitive and non-cognitive skills are important determinants of labor market outcomes, but are often unobserved. [The authors] propose a proxy for these skills derived from item non-response information and a procedure to test its validity. Exploiting a unique data-collection feature of an Australian survey, [the authors] find that fraction answered on a self-completion questionnaire fulfils all necessary requirements to be a valid proxy for cognitive skills and outperforms alternative proxies derived from paradata. Fraction answered captures a third of the effect of cognitive ability on wages and education. [The authors] provide a simple solution to reduce omitted-variable biases by up to 11 per cent. [Author abstract].

Recent labour market research has shown that a good education comprises investment in both cognitive and non-cognitive skills. We examine the impact of a long-term programme designed to raise non-cognitive skills of children and adolescents in slums in Bombay. We use a cross-cutting design with two comparison groups of peers for young adults who have attended the programme until leaving high school to analyse whether, compared to those from a similar environment and background, enrollment in the programme demonstrably raises such skills. We find evidence of substantial impacts on both self-esteem and self-efficacy (of about one standard deviation), as well as evidence of a smaller impact on life evaluation and aspirations. Furthermore, in line with the literature, both self-esteem and self-efficacy are positively related to success in school-leaving examinations and initial labour market outcomes.

The demand for workforce skills is changing in Vietnam’s dynamic economy. In addition to job-specific skills, Vietnamese employers value cognitive skills, like problem solving, and behavioral skills, like team work. This book presents an agenda of change for Vietnam’s education system to prepare workers to succeed in Vietnam’s modernizing economy.

We assess whether online data on vacancies and applications to a job board are a suitable source for studying skills dynamics outside of Europe and the United States, where a rich literature has examined skills dynamics using online vacancy data. Yet, the knowledge on skills dynamics is scarce for other countries, irrespective of their level of development. We first propose a taxonomy that systematically aggregates three broad categories of skills - cognitive, socioemotional and manual - and fourteen commonly observed and recognizable skills sub-categories, which we define based on unique skills identified through keywords and expressions. Our aim is to develop a taxonomy that is comprehensive but succinct, suitable for the labour market realities of developing and emerging economies and adapted to online vacancies and applicants' data. Using machine-learning techniques, we then develop a methodology that allows implementing the skills taxonomy in online vacancy and applicants' data, thus capturing both the supply and the demand side. Implementing the methodology with Uruguayan data from the job board BuscoJobs, we assign skills to 64 per cent of applicants' employment spells and 94 per cent of vacancies. We consider this a successful implementation since the exploited text information often does not follow a standardized format. The advantage of our approach is its reliance on data that is currently available in many countries across the world, thereby allowing for country-specific analysis that does not need to assume that occupational skills bundles are the same across countries. To the best of our knowledge, we are the first to explore this approach in the context of emerging economies. 4950.

The book focuses on Indonesia's most pressing labor market challenges and associated policy options to achieve higher and more inclusive economic growth. The challenges consist of creating jobs for and the skills in a youthful and increasingly better educated workforce, and raising the productivity of less-educated workers to meet the demands of the digital age. The book deals with a range of interrelated topics---the changing supply and demand for labor in relation to the shift of workers out of agriculture; urbanization and the growth of megacities; raising the quality of schooling for new jobs in the digital economy; and labor market policies to improve both labor standards and productivity.