Causal Inference | Jeremy Meng

Causal Inference

Jan ’26

Economic Impacts of Trump's 2025 Tariffs — Scalable approach to real-time evaluations of economic costs
F ’25 Trade Policy New Data Causal Inference
F ’25

Dec ’25

UC Davis — PhD in International Economics
F ’25 General Equilibrium Causal Inference Applied Econometrics
F ’25

Oct ’25

Economist (UC Davis Health) — program evaluations with big messy legal data
S ’25 - F ’25 Unstructured Data NLP Causal Inference Demand Elasticity
S ’25 - F ’25

Mar ’25

Benchmark Inclusion and Sovereign Risk — benchmarks for disciplining asset managers' risk-taking create risk elsewhere
W ’25 Market Index Default Risk Modeling Causal Inference Big Granular Portfolio Data
W ’25

Jun ’22

Fiscal Spending and Growth: New Evidence from a Natural Experiment — Persistent, long-term regional pushes from temporary policies and 10K+ contracts
S ’22 Causal Inference Program Evaluation
S ’22

Feb ’12

Applied Econometrics — causal inference; using estimates to discipline structural models and uncover fundamental driving forces
W ’12 – Causal Inference General Equilibrium Time Series Econometrics Experimentation Causal ML
W ’12 –