Duke’s MS in Economics delivers advanced econometrics, machine learning, and experimental design. Students deploy RCTs on micro-credit, run DSGE models for central-bank scenarios, and publish in policy journals before graduation. A career practicum integrates with hedge funds, multilaterals, and impact-investing firms.
Synthetic-control analysis of universal basic-income pilots
Graph ML prediction of sovereign-bond crises
RCT measuring solar-microgrid impacts on rural incomes
Natural-language processing of Fed minutes to forecast yields
Carbon-tax incidence microsimulation across income deciles
Behavioral-econ experiment on crypto risk preferences
Spatial regression of ride-hailing on transit ridership
Open-source package for automated heteroskedasticity diagnostics
Dashboard benchmarking ESG disclosure compliance
Machine-learning forecast of inflation in volatile economies
VR classroom simulating trade-tariff negotiations
Policy brief on green hydrogen subsidy design
Meta-analysis of cash transfers and child nutrition outcomes
Blockchain prototype for transparent aid disbursement
Harness data to solve real-world economic challenges with Duke Economics.
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