Duke’s Economics BS emphasizes empirical research and causal inference, arming students with econometrics, game theory, and computational tools like Stata, R, and Python. Randomized-controlled-trial labs collaborate with NGOs on microfinance, while behavioral-econ courses run live experiments on risk preferences. Internships at the Federal Reserve and fintech startups translate theory into practice, and the senior thesis often yields publications or policy briefs for regulators.
RCT measuring mobile-money adoption impacts in rural Uganda
Machine-learning model predicting bankruptcy from text disclosures
Field experiment on default options and organ-donor sign-ups
Carbon-tax incidence simulation across income deciles
Network analysis of systemic risk in crypto lending markets
Behavioral game assessing cooperation under climate uncertainty
Synthetic-control study of universal basic-income pilots
Interactive dashboard auto-scoring ESG disclosures
AI-assisted randomized assignment tool for econ field studies
Regression-discontinuity analysis of min-wage hikes on youth jobs
Podcast debating antitrust remedies in big tech
Crowdsourced database of informal gig-economy wages
Geo-spatial mapping of redlining legacies on credit scores
Agent-based model of electricity-market decarbonization
Policy brief forecasting student-loan reform outcomes
Meta-analysis of cash-transfer programs’ educational effects
Blockchain experiment issuing micro-bonds for public parks
VR classroom simulating central-bank crisis decision-making
Leverage quantitative tools to shape evidence-based policy and strategy with Duke Economics.
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