Duke’s Economics Ph.D. merges frontier econometrics, applied theory, and machine learning. Doctoral fellows launch RCTs on micro-finance, build structural models of climate migration, and parse billions of text records to forecast inflation expectations. Policy labs with the Fed, World Bank, and IMF ensure research shifts macro debate and micro incentives alike.
Synthetic-control study of universal basic-income pilots
Graph ML prediction of sovereign-bond crises
RCT measuring solar-microgrid impacts on rural incomes
Text-mining Fed minutes for yield-curve forecasting
Carbon-tax incidence microsimulation across income deciles
Behavioral-econ experiment on crypto risk preferences
Spatial regression of ride-hailing on transit ridership
AI-driven early-warning system for food-price spikes
Meta-analysis of cash transfers and child-nutrition outcomes
Policy brief on green-hydrogen subsidy design
Machine-learning forecast of inflation in volatile economies
VR classroom simulating tariff negotiation strategies
Open-source package for automated heteroskedasticity tests
Blockchain prototype for transparent aid disbursement
Differential-privacy synthetic data generator for tax records
Agent-based model of decentralized finance contagion
Survey experiment on default options and retirement savings
Interactive dashboard benchmarking ESG disclosure compliance
Turn rigorous analysis into impactful economic policy with Duke.
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