About

I am a PhD candidate in Public Policy (Economics track) at Harvard University.

My research focuses on knowledge diffusion, organizational change and human capital formation using a mix of observational and experimental methods.

Before my PhD, I worked as a research assistant at Harvard’s Center for International Development (CID), Boston University, and NBER.

You can reach me at nikhil_kumar1@g.harvard.edu.

Publications

Developing Socioemotional Skills in Early Adolescence: Experimental Evidence from Morocco’s Public Schools

Journal of Development Economics (forthcoming) · Draft (English) · Draft (French)

Abstract

We investigate a government-delivered socioemotional support intervention in Morocco’s public lower-secondary schools. The intervention trained existing school social specialists to deliver small-group workshops to students in grades 7 and 8. In a cluster-randomized trial across 200 schools, all of which were participating in the first year of a broader reform, 84 were assigned to the intervention and 116 to a control group. Assignment to the intervention increased workshop participation by 43.2 percentage points and students’ knowledge of their social specialist by 16.9 percentage points. Over one school year, however, this increase in exposure did not translate into detectable average effects on the pre-specified primary outcomes (interpersonal and intrapersonal skills) or on overall learning, dropout, creativity, well-being, or study habits. If anything, students’ self-control declined by 0.097 standard deviations. Grade repetition fell by 1.7 percentage points, and achievement rose in specific science and language subdomains. All of these estimates survive correction for multiple hypothesis testing with the pre-specified school-level clustering; yet with the larger standard errors from clustering by randomization stratum, only the self-control decline and the physics and chemistry subdomains reach the 10-percent threshold, so we treat the improvements as suggestive. Thus, although existing school staff can expand students’ exposure to support without additional staff or pay, a low-intensity universal protocol did not measurably improve the targeted socioemotional skills.

Selected Works in Progress

Offshore but In-House: Multinational Firm Boundaries and Spillovers from India’s Global Capability Centers

Data analysis in progress.

The Role of Informal Intermediaries in Urban Job Search and Rural-Urban Migration

Fieldwork in progress.

Remote by Design: Organizational Structure, Technology, and Productivity

Data analysis in progress.

Machines in the Fraud Chain: AI and the Information Capacity of the State

Supported by Harvard University Center for International Development GEM Incubation Fund 2025: Catalyzing AI for Inclusive Change.

How do mentors and peers shape careers?

Data analysis in progress.

Working Papers

Knowledge Without Taxation? Experimental Evidence from a Tax Education Program

Abstract

A property tax experiment in Ghana randomly provides tax education to property owners and frontline officials. The intervention raises tax knowledge, which spreads through social networks to untreated neighbors, but does not increase tax payments. Educated taxpayers and officials become more engaged in their interactions without developing more collaborative relationships. Taxpayers revise downward their beliefs about enforcement capacity and become more aware of legal ways to reduce their tax burden. Knowledge is a double-edged sword: it can stimulate citizens to engage with the tax system while exposing the state’s limited capacity to enforce it.

Beyond Basics: Whole School Reform and Early Adolescent Development

Abstract

This study investigates whether a government-led, whole-school reform in public lower secondary schools can simultaneously reduce dropout and improve both academic and socioemotional outcomes. We employ a prospective difference-in-differences design, using machine learning on nationwide administrative data to match 200 reform schools in Morocco to 100 comparable schools. The analysis uses primary assessment data for 20,036 students and administrative enrollment records for 637,587 observations. After one year, the reform reduced end-of-year dropout by 1.6 percentage points, a 31.4 percent decline, increased learning by 0.52 standard deviations, a 3.3-fold acceleration, and improved a pre-specified index of socioemotional skills by 0.22 standard deviations. These findings demonstrate that government-led interventions can deliver multidimensional benefits during the critical lower secondary school years and highlight the potential of whole-school reform to support adolescent development.

Presentations
  • North East Universities Development Consortium (Tufts University, 2025)

Learning with Peers: Experimental Evidence from a Scaled-up Peer Tutoring Intervention in Rural India

Draft available upon request · Pre-registration

Abstract

We study a light-touch peer tutoring intervention at scale, facilitated by teachers and embedded within rural public primary schools in the poorest Indian state of Bihar in partnership with the district education administration and an NGO. Teachers in treatment schools were encouraged to form and maintain groups of size 5-6 with a high-performing student as the tutor and conduct peer tutoring sessions at least thrice a week in one period of the regular school day. We find that the program increased math performance by 0.15-0.16 standard deviations for both learners and tutors driven by gains in learning across a range of math competencies. Learners in treatment schools report finding studies easier and feeling less anxious when studying with friends. We do not find effects for tutors or learners on a range of socioemotional skills. We also find a tightening of student peer groups such that both tutors and learners are reported by a smaller number of peers as part of study groups, while learners also report studying with fewer peers. These results demonstrate that same-grade peer tutoring can be implemented by teachers at scale within public primary school classrooms effectively.

Presentations
  • Advances with Field Experiments (University of Chicago, 2026)
  • AEFP EdDev Community Meeting (2025)
  • Annual Conference on Economic Growth and Development (ISI Delhi, 2025)

Teaching

The Economics of Infrastructure in Developing Countries (Syllabus)

Instructor, Sophomore Tutorial, Fall 2024 · Fall 2025 · Spring 2026 · Fall 2026

Econometric Methods II

Teaching Fellow for Michael Gechter, PhD First Year Core, Spring 2025

Advanced Quantitative Methods: Causal Inference

Teaching Fellow for Michael Gechter, MPA/ID First Year Core, Spring 2025

Leading Smart Policy Design

Teaching Fellow, Executive Education

Data Sources

Some interesting sources of public data, mainly focused on India, can be found in this Notion list.