Department of Economics
University of Virginia
Charlottesville, VA 22904
Institutional Affiliation: University of Virginia
Information about this author at RePEc
NBER Working Papers and Publications
|February 2020||Identity Verification Standards in Welfare Programs: Experimental Evidence from India|
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How should recipients of publicly-provided goods and services prove their identity in order to access these benefits? The core design challenge is managing the tradeoff between Type-II errors of inclusion (including corruption) against Type-I errors of exclusion whereby legitimate beneficiaries are denied benefits. We use a large-scale experiment randomized across 15 million beneficiaries to evaluate the effects of more stringent ID requirements based on biometric authentication on the delivery of India's largest social protection program (subsidized food) in the state of Jharkhand. By itself, requiring biometric authentication to transact did not reduce leakage, slightly increased transaction costs for the average beneficiary, and reduced benefits received by the subset of beneficiaries w...
|November 2018||Improving Last-Mile Service Delivery using Phone-Based Monitoring|
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Improving “last-mile” public-service delivery is a recurring challenge in developing countries. Could the widespread adoption of mobile phones provide a scalable, cost-effective means for improvement? We use a large-scale experiment to evaluate the impact of phone-based monitoring on a program that transferred nearly a billion dollars to 5.7 million Indian farmers. In randomly-selected jurisdictions, officials were informed that program implementation would be measured via calls with beneficiaries. This led to a 7.6% reduction in the number of farmers who did not receive their transfers. The program was highly cost-effective, costing 3.6 cents for each additional dollar delivered.
|September 2017||General Equilibrium Effects of (Improving) Public Employment Programs: Experimental Evidence from India|
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Public employment programs may affect poverty through both the income they provide and their effects on private labor markets. We estimate both effects, exploiting a large-scale experiment randomized across 157 sub-districts (with an average population of 62,500 each) that improved the implementation of India's national rural employment guarantee scheme. The reform raised low-income households' earnings by 13%, with 90% of this gain coming from non-program earnings, driven by increases in both market wages and private-sector employment. Workers' reservation wages increased and their employment gains were higher in treated areas with more concentrated landholdings, consistent with monopsonistic labor markets. We also find increases in credit, private assets, and longer-term enterprise count...
|March 2014||Building State Capacity: Evidence from Biometric Smartcards in India|
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Anti-poverty programs in developing countries are often difficult to implement; in particular, many governments lack the capacity to deliver payments securely to targeted beneficiaries. We evaluate the impact of biometrically-authenticated payments infrastructure ("Smartcards") on beneficiaries of employment (NREGS) and pension (SSP) programs in the Indian state of Andhra Pradesh, using a large-scale experiment that randomized the rollout of Smartcards over 158 sub- districts and 19 million people. We find that, while incompletely implemented, the new system delivered a faster, more predictable, and less corrupt NREGS payments process without adversely affecting program access. For each of these outcomes, treatment group distributions first-order stochastically dominated those of the contr...
Published: Karthik Muralidharan & Paul Niehaus & Sandip Sukhtankar, 2016. "Building State Capacity: Evidence from Biometric Smartcards in India," American Economic Review, vol 106(10), pages 2895-2929. citation courtesy of