Research highlights
My research agenda seeks to shape African development through large-scale randomized evaluations, while leveraging policy successes to create scope for experiments that can refine conventional theories.
In collaboration with the NGOs AgriCorps and 4-H Liberia, I piloted and then led a large-scale randomized evaluation of school-based agricultural extension (SBAE) in Liberia in 2021-23—securing a total of $4,160,984 in research and scaling grants to date. SBAE cost-effectively tackles the dual challenges of agricultural technology diffusion and rural school attendance by integrating experiential science instruction, extra-curricular activities, school demonstration farms, and student home projects. With proven success, it is expected to scale to all rural schools by 2035.
My Job Market Papers exemplify how economists can uncover programs with hidden potentials through multi-layered experiments. The high-profile, otherwise-muted success of SBAE was activated through light-touch interventions tackling weak parent-school linkages (JMP1) and barriers for parents to communicate their openness to changes in farm management to students (JMP2).
Transforming schools into integrated hubs for rural development creates scope for experiments that refine conventional theories. Supported by a National Science Foundation grant, JMP2 challenges the view that frequent interactions within households make communication frictions inconsequential. It shows that: (i) students fail to learn about parents’ openness—even as parents become more open to changes after watching promotional videos and students can infer parents' openness from school visits and technology adoption; (ii) parents' beliefs, elicited in surveys, can function as effective signals, enabling students to benefit from SBAE—switching them to sales-oriented farming with timely earnings, raising annual income by 63%, timely payment of school fees by 43-47%, and doubling impact per dollar on school attendance—a key reason SBAE outperforms conditional cash transfers in cost-effectiveness. More generally, recognizing household members often overlook opportunities for joint decision-making under new technologies, my model provides tested insights on how technology selection, participant targeting, and informational nudges should be cohesively designed to broaden benefits from agricultural extension and tackle intertwined goals in rural development.
Anticipating SBAE's integration with mobile tools that deliver customized farming advice, I have also piloted a Weiss-funded empirical framework to estimate how algorithmic technology affects farmers facing heterogeneous local conditions—such as soils, market distances, and climate risks—advancing the study of directed technical change in contexts where the relevant production factors are high-dimensional, markets are missing, and R&D decisions are guided by data availability.
Looking forward, I am designing three clusters of randomized trials for 2026–2028 to test various ways to strengthen SBAE's capacity to function as hubs for rural development—in Liberia, Côte d'Ivoire, and Kenya. These trials—aided by high-frequency data collection from students and lab-in-the-field experiments—will address important puzzles in several fields, including:
behavioral economics (e.g. designing interventions that overcome/utilize people's avoidance of shame and blame in agricultural technology diffusion)
information and organizational economics (e.g. how social norms might shape higher-order beliefs about farm management abilities and affect bargaining over resource control in families and farming groups)
economics of education (e.g. exploiting synergies between student-centered, experiential science learning and agricultural technology diffusion)
macroeconomic development (e.g. designing school curricula to facilitate both rural development and structural changes towards high-value jobs/sectors)