Harvard’s Economics PhD trains scholars to master micro‑theory, macro‑dynamics, and causal inference, applying them to inequality, innovation, and climate finance. Doctoral fellows conduct RCTs in Kenya, scrape patent data with NLP, and model monetary shocks with DSGE frameworks, influencing central‑bank dashboards and multilateral policy briefs.
RCT on mobile wage‑payment impacts for factory workers
Structural model of carbon‑pricing ripple effects in supply chains
Network analysis of global value‑chain resilience post‑pandemic
Growth‑accounting study of AI adoption across sectors
Housing‑voucher lottery evaluation using administrative tax data
Machine‑learning prediction of SME default in emerging markets
Behavioral experiment testing nudge effects on energy savings
Synthetic‑control estimation of universal basic‑income pilots
Spatial equilibrium model of climate migration flows
Gender gap analysis in VC funding with text‑as‑data approaches
Crypto‑asset contagion risk model for financial regulators
Policy memo on wealth‑tax design and avoidance channels
Public‑facing dashboard tracking real‑time inflation expectations
Ethics commentary on algorithmic credit scoring
Marry theory and data to tackle pressing economic challenges.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.
