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.

Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and their consequences, countries like Colombia (where informality and unemployment rates are high) lack a proper labour market information system to identify skill mismatches and employer skill requirements. One reason for this absence is the cost of collecting labour market data. Recently, the potential use of online job portals as a source of labour market information has gained the attention of researchers and policymakers, since these portals can provide quick and relatively low-cost data collection. As such, these portals could be of use for Colombia. However, debates continue about the efficacy of this use, particularly concerning the robustness of the collected data. This book implements a novel mixed-methods approach (such as web scraping, text mining, machine learning, etc.) to investigate to what extent a web-based model of skill mismatches can be developed for Colombia. The main contribution of this book is demonstrating that, with the proper techniques, job portals can be a robust source of labour market information. In doing so, it also contributes to current knowledge by developing a conceptual and methodological approach to identify skills, occupations, and skill mismatches using online job advertisements, which would otherwise be too complex to be collected and analysed via other means. By applying this novel methodology, this study provides new empirical data on the extent and nature of skill mismatches in Colombia for a considerable set of non-agricultural occupations in the urban and formal economy. Moreover, this information can be used as a complement to household surveys to monitor potential skill shortages. Thus, the findings are useful for policymakers, statisticians, and education and training providers, among others.