Tech’s Econ PhD merges structural modeling, machine learning, and experimental design. Students nowcast GDP with satellite night-lights, dissect fintech credit algorithms, and craft climate-risk pricing models—often informing Fed white papers and VC pitches.
Synthetic-control study of state crypto-tax incentives
Graph neural net predicting global supply-chain contagion
RCT on carbon-label effects in e-commerce carts
Dynamic pricing algorithm for peer-to-peer energy markets
AI sentiment index forecasting FX volatility
Input–output analysis of semiconductor shocks
Universal basic-income pilot evaluation via difference-in-differences
Behavioral field experiment on green nudges in rideshare
Bayesian housing-bubble early-warning system
Policy impact of CBDC on unbanked households
Fairness audit of lending-tree ML credit models
Carbon tax path optimization under stochastic abatement costs
Agent-based model of autonomous-vehicle labor markets
ESG sovereign-bond spread determinants via panel regressions
Network analysis of tech patent spillovers and growth
Turn data and theory into insights shaping markets and policy.
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