Dubbed the ‘fourth industrial revolution’, technology disruption could be a key growth driver for economies over the coming years. But for women, advances in technology also pose a threat, as many of their jobs could be displaced. A perfect storm of technological trends, from mobile internet and cloud technology to ‘big data’ and the ‘internet of things’, means that, as new work trends evolve, existing gender inequalities could worsen further.
Labor and Social Protection
He has an agreement with TNEPRP to train a total of 180 differently abled, including a planned group of 30 women. Run on a guild program model, the CSS ensures that upon completion of a one-month program on skills enhancement, the trainees can become self-employed or work in small enterprises repairing home appliances in their own and neighboring villages. The rapid urbanization of rural Tamil Nadu offers plenty of such opportunities.
Mr. Kannan designed the key aspect of the curriculum—which goes beyond technical training—based on his own life experiences. During our conversation, I found out that Mr. Kannan is differently abled himself—he was afflicted with polio at the age of three and has lost the use of both his lower limbs. As a result, Mr. Kannan needed a wheelchair to get around. Nevertheless, he was not deterred and continued his education to receive a diploma in mechanical engineering from a local Polytechnic. He ended up at Samsung’s service center in Chennai, the state capital, where he spent four years acquiring skills in home appliance repair.
A World Bank study in Argentina highlighted that women “have more complex travel patterns, travel more, and have more travel needs at off-peak hours, which are often not related to work and associated with fixed destinations (e.g. child care).” As a result, they are constrained to smaller commutes and, by association, fewer employment opportunities. In addition to using public transport at different times, frequencies, and for alternate purposes, data from other countries also indicates that .
To dig deeper on this and identify what kind of complementary interventions could help ensure mass transit investments bring women the best accessibility benefits, we conducted preliminary research in Mexico City with support from the World Bank Youth Innovation Fund.
Our primary objective was to figure out what encourages or inhibits women’s use of mass transit systems, and to understand how these systems influence their decisions to find employment or better employment.
There is much speculation about what share of jobs might be automated by increasingly smart machines. One estimate suggests that countries such as the U.S. would see almost half of today’s jobs disappearing, while another estimate suggests that this might be just about one in ten jobs. But less is known about who will lose their jobs due to these transitions. And more critically, what might happen to the bottom 40 percent of the population of emerging countries that have only recently been exposed to basic digital technologies? Will they gain from technological progress, or will they face the negative effects of both exclusion and of others—countries or the better off—pulling ahead?
Jobs are key to ending poverty and development practitioners, policymakers, academics, and business leaders agree that measuring jobs is important. While data on the number of jobs being created is important, it only tells a small part of the story.
This is the first in our series of posts by Ph.D. students on the job market this year.
One of the key challenges of markets is to assess the quality of goods. A look at online dating websites – a market where information asymmetries loom particularly large - shows different ways in which people try to communicate that they are of “high quality”. A common strategy is to start your introduction with “My friends describe me as…” (to be followed by some glowing testimony “…smart, athletic, high-achieving – yet humble”). Why may this strategy not be effective? It raises questions about whether these friends are truthful and whether they have all the relevant information about your quality as a partner. The really interesting question you never see answered is: “How would your ex-partner describe you?”
My job market paper “The Value of Reference Letters”, coauthored with Rulof Burger (SU) and Patrizio Piraino (UCT), is about the challenges hiring firms face in identifying high-quality applicants. While the literature has largely focused on the role of friends and family members (Topa 2011, Beaman and Magruder 2012) in job referrals, we investigate whether information from ex-employers can facilitate the matching process. Specifically, we test the effect of a standardized reference letter asking previous employers to rate workers on a range of hard skills (e.g. numeracy, literacy) and soft skills (e.g. reliability, team ability).
But do we perhaps rely too much on numbers to gain an understanding of people’s lives and the societies in which they live? Do numbers really tell us the whole story, or give us the full picture?
About one in three urban residents (over 900 million people) in developing markets live in informal settlements. Do these slums help lift people out of poverty by providing affordable entry points to access urban assets, services and livelihoods? Or do they confine people to enduring hardship and vulnerability in squalid and unsafe environments with little prospect of upward mobility?