Contact us: digitalwages@ilo.org
Contact us: digitalwages@ilo.org
On May 11, 2022, 24 representatives of government institutions, workers’ and employers’ organizations, financial service and digital payments providers analysed the findings of a rapid assessment of digital wages for decent work in Mexico, in the food and beverage, coffee…
On April 28, 2022, 25 representatives from government entities, workers’ and employers’ organizations, and digital payment and financial service providers discussed the findings of a rapid assessment on digital wages for decent work in the sectors of agribusiness and gastronomy…
The ILO, in collaboration with its constituents and the University of Indonesia, held an online event to present the assessment on digital wages for decent work in Indonesia with over 120 participants. The assessment is part of the effort to…
Using data from a Mexican FinTech firm, the authors study the usage by workers of earned wages access. They find usage to be significant and concentrated towards the end of the pay cycle. They document that such usage is associated…
The ILO’s Global Centre on Digital Wages for Decent Work, the Better Than Cash Alliance, Better Work and BSR organized an online event on 23 March, “Promoting workers’ well-being and sustainable enterprises through digital wage payments: Experiences from the garment…
In remote areas of Nepal, rural communities, and especially the most disadvantaged and marginalized groups, do not have access to formal financial services. However, the Strengthening National Rural Transport Programme took up the challenge of generating access to finance and…
The authors use data from a leading fintech firm in Korea, including transaction-level data on international remittance payments to developing Asia and referral data among users, to study the role of social networks in helping low-income workers optimize their use…
This report seeks to identify the barriers to expanding access to and usage of formal financial services in Jamaica, with a view to remedying them.
Using random forest estimation, the authors identify 14 key predictors out of 190 variables with the largest predictive power for micro, small, and medium-sized retailer (MSMR) adoption and usage of digital payments. Using conditional inference trees, they study the importance…
This report shares the impact of a wage digitization pilot initiative at Lotus Garments Group, a clothing manufacturer in Egypt. The initiative, the result of a partnership between Mastercard, Levi Strauss & Co and BSR’s HERproject, supported over 8,700 workers…