Governments around the world are investing in digital systems to deliver public benefits faster and more reliably. But in India's largest workfare program, busy officials could not easily use the data they already had. New research shows that giving bureaucrats simpler, more actionable information can meaningfully reduce payment delays and strengthen support for vulnerable households.
Ford School Assistant Professor Yusuf Neggers co-authored an article in VoxDev about how improving access to existing government data can reduce delays in public benefit delivery and strengthen safety nets for vulnerable households.
The researchers studied India's Mahatma Gandhi National Rural Employment Guarantee Scheme, the world's largest workfare program, which serves more than 50 million households annually. Although India already used digital systems to track wage payments, chronic delays persisted, sometimes so severe that the country's Supreme Court called delayed payments "a clear constitutional breach committed by the State."
To understand why digital tracking had not solved the problem, the researchers partnered with India's Ministry of Rural Development to develop PayDash, a mobile and web application that reorganized existing payment data into a simpler, more actionable format. Rather than creating new information, PayDash made it easier for district and subdistrict officials to see where payment processing was delayed, identify the responsible step or official, and quickly follow up by phone or WhatsApp.
The research team tested PayDash through a large-scale randomized experiment across 73 districts in Madhya Pradesh and Jharkhand, covering 561 subdistricts and approximately 25 million rural poor. They found that PayDash reduced late wage-processing by 9 percentage points, cut average processing time by 1.4 days, and made payments more predictable. Access to the tool also increased work provision by 9%, with the largest gains during the agricultural lean season, when social protection is most needed.
The results suggest that delays were driven less by corruption or rent-seeking than by strained managerial capacity. Busy bureaucrats often lacked the time to navigate complex digital systems and act on the data those systems already produced. By delivering the right information to the right officials in a usable format, PayDash helped improve service delivery at very low cost.
The researchers write: "The challenge PayDash addresses is not unique to India. As the cases from Ethiopia, the Philippines, Kenya, and elsewhere illustrate, rapidly expanding social protection programmes have increased workloads even as digital systems generate ever-richer data trails. ... Tools that close this gap, delivering the right information at the right time in a usable format, offer a cost-effective lever for improving service delivery in precisely the settings where the stakes are highest."
