We examine how highlighting consecutive achievements (streaks) affects student motivation and learning outcomes. Using a randomized controlled trial on an online math platform, we show that streak notifications increase engagement and improve test scores, particularly among lower-performing students.
📄 Published Paper Economics of Education Review (2025)We evaluate whether digital wage transfers improve financial inclusion and economic outcomes for female migrant workers in India. Combining administrative and survey data from a field experiment, we document limited impacts and identify barriers that constrain the promise of digital finance.
We test whether beliefs about our performance, our confidence, shape our preferences for fairness and redistribution. With the rise of LLMs providing feedback in educational and workplace settings, understanding how AI-driven feedback may inflate confidence and influence attitudes toward fairness and redistribution is increasingly important.
We study how political alignment shapes sorting in a centralized university admission system. Using large-scale administrative application data combined with a conjoint experiment, we estimate a structural discrete choice model to quantify how ideological proximity influences application behavior and allocation outcomes. We simulate counterfactual admission policies to evaluate how alternative matching rules affect sorting patterns and equilibrium allocations.
We study the tradeoffs of personalizing interventions based on treatment effect heterogeneity in a notification campaign.
We assess the impact of AI-generated feedback on student engagement and learning outcomes in digital education platforms.
We assess the effect of digital interventions for employment access, from job readiness to job matching, synthesizing evidence across multiple studies and contexts.