Northwestern’s Economics PhD develops scholars who marry rigorous micro-theory with big-data empirics to solve real-world puzzles—from carbon pricing to fintech adoption. Doctoral students publish in *AER* and *QJE* while leveraging Chicago-Fed micro-data, satellite-imaging land-use panels, and machine-learning causal tools. Joint workshops with Kellogg and the Institute for Policy Research hone both academic and policy voice, preparing graduates for tenure-track posts, central-bank fellowships, and tech-economist leadership.
Quantify productivity spillovers of green-energy clusters using spatial GMM
Model crypto adoption’s welfare effects under alternative CBDC scenarios
Estimate causal impacts of universal preschool on intergenerational mobility
Value coastal flood insurance subsidies with difference-in-discontinuities design
Analyze algorithmic wage discrimination in ride-hail platforms with dynamic games
Simulate optimal carbon-border adjustments in a multi-sector DSGE model
Measure behavioral biases in retirement saving with large-scale field nudges
Use satellite night-lights to track supply-chain shocks from port disruptions
Develop a structural model of click-through auctions with privacy constraints
Forecast inflation expectations from social-media sentiment and Google Trends
Evaluate basic-income pilots’ effects on entrepreneurship via synthetic controls
Study network externalities in EV charging with agent-based simulations
Map zoning reform impacts on housing affordability using event studies
Assess monetary-policy transmission to fintech lending with high-frequency ID shocks
Write a policy memo on antitrust remedies for data-dominant digital platforms
Advance economic science and shape policy with Northwestern’s fully funded PhD.
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