In developing-country labor markets, search frictions and network-based hiring sustain high churn and exclude poorly-connected workers, suggesting a potential for misallocation. I test whether redirecting referrals toward underrepresented minority workers in such segmented labor markets can raise both equity and productivity. In an Indian manufacturing firm, I experimentally increased the share of referral invitations allocated to minority lower caste incumbents. The policy raised their employment share by 15 pp (62%) and raised team output by 0.09 s.d. (5%). This improvement in production was driven by reduced monthly turnover which was lower by 4 pp (41%). Importantly, treatment did not induce declines in worker cohesion, contrary to common concerns about diverse and heterogeneous teams. A supplementary lab-in-field experiment pins down the mechanism: when lower caste workers enter as outsiders rather than via referrals, cohesion falls by 9% and output 22%, implying that recruitment mode -- not entrant identity -- drives short-run costs. At the firm, supervisors exposed to the policy continued to allocate referrals to lower caste workers after the intervention concluded, consistent with Bayesian learning which I rationalize with a model. Lower caste referral candidates saw large gains in job offers and employment, with no detectable displacement of upper caste candidates. Redirecting referrals can thus reassign jobs toward workers with low outside options, improving their labor market prospects as well as firm performance.
The Long Shadow of Feudalism: Concentration of Land and Labor Market Power in India
Land is power: both state and non-state actors have understood this for centuries, but the causal impacts of land concentration are notoriously difficult to study. We study how differences in village land concentration stemming from the granting of feudal titles hundreds of years ago affect present-day labor markets in India. We exploit variation in land tenure systems at a more granular level than is seen in the literature on the long-run effects of land tenure systems, implementing a regression discontinuity along feudal borders that no longer correspond with modern administrative boundaries. Large discontinuities in land concentration persist across these boundaries, with the smallest land parcels in previously feudal areas 19% larger than their analogs in non-feudal areas. These differences are associated with 7% lower agricultural wages for women, but not men who are more able to travel and seek outside options. Importantly, these differences in wages persist despite no differences in yields, aggregate labor demand or supply, output prices, or other non-labor agricultural inputs. Village elected bodies in feudal areas scuttle the implementation of the key workfare program designed to provide agricultural labor with an outside employment option, with 71% fewer person-days offered during peak agricultural months when large landowners demand labor, and no difference the lean season when the program is most active. We show that the effect on the workfare program likely operates through caste-based links between large landowners and village elected representatives. This work emphasizes the effects of land inequality on local labor markets as a key mechanism through which inequities persist, and the value of outside options for workers where employers have market power.
Between Trust and Trade: On Informal Credit Networks in India
We study informal store credit — interest-free lending by shopkeepers to customers — in urban India, combining transaction-level data from a network of stores with a field experiment. Credit access is highly concentrated and shaped by social proximity, with owners favoring in-group borrowers even conditioning on economic signals. When we subsidize credit to random customers, removing default risk, borrowers repay comparably to owner-selected ones, revisits rise by 18 percentage points, and owners continue lending after the subsidy ends — especially to socially distant customers. Credit also reduces customers' inability to afford food or medicine. The results point to under-experimentation: temporary subsidies can durably expand informal credit access across social boundaries.
Learning in Isolation: The Human and Social Capital Effects of Targeted Schooling Systems
Schools shape both what students know and whom they know. We study a system of high quality residential schools in India, that are targeted at disadvantaged castes, using oversubscribed Grade 5 admissions lotteries. Following one cohort to ages 21 and 25, we find that SWS attendance raises completed schooling by 0.38 years (3%), Grade 12 scores by 0.26 s.d., and college enrollment by 19%, closing nearly one-third of the caste gap in attainment. Yet these human-capital gains come with narrower social networks: treated students form 9% smaller and 89% more caste-homogeneous peer ties, which results in smaller job-search networks and a lower probability of finidng a job through referrals. Labor-market participation initially rises by 15% but later falls back as unemployment declines and employment levels converge. A simple search model shows how higher ability raises the value of search while homophilous networks slow job-offer arrivals. The results highlight that targeted schooling can equalize learning but not mobility when opportunity flows through segregated social networks.
Heatwaves, intensified by climate change, hit the poorest the hardest. Many are exposed to dangerous temperatures through outdoor or factory-based work, and have limited access to adaptive resources. How can social protection evolve to address the growing losses caused by extreme heat? We conduct a randomized controlled trial among low-income workers in Delhi, India, comparing the effects of temperature-indexed heat alerts, anticipatory daily wage payments delivered before heat events, and same-day daily wage payments delivered during heatwaves. We measure impacts on labour supply, adaptive behaviours, health, and financial wellbeing. The design separately identifies the value of information, the value of cash, and the value of acting ahead of heatwaves.
Targeting and Take-up of Occupation-specific Welfare Programs
India earmarks billions for the welfare of construction workers — compensation for a workforce that bears outsized economic, climate, and occupational risk. Yet much of that money sits unused, never reaching the people it's meant to protect. This study examines why, and tests what fixes it. Awareness of these programs is high, but enrollment is held back by transaction costs and information asymmetries. Using a cluster-randomized design, we test two interventions: (i) government-led onsite registration, which cuts the hassle of applying, and (ii) clear, actionable guidance, which closes the information gap. We measure impacts on labor card enrollment, benefit access, application costs, labor supply, and earnings. The findings will speak to core questions in public and development economics on how to design cost-effective interventions that boost uptake and reduce exclusion errors in welfare programs for vulnerable populations.
High-frequency Monitoring in India's Public Distribution System
This project evaluates the role of information and incentives in improving the quality of last-mile service delivery in a large public welfare program in India. Last-mile government officials are provided detailed information on the quality of service delivery in their jurisdiction, and their career incentives are linked with their observed performance. In a later phase of the study, we intensify the granularity of the information. We use this variation to test the effect of this information relative to the incentives on average service delivery. In particular, we are focused on the improvement in the left tail of the distribution of beneficiaries, and will test whether treated officials direct their effort towards these units.