Applied Econometrics
Strong experience with microeconometrics, causal inference and quasi-experimental methods in R, Stata and Python.
Economics · Data · Development
Ayodele Idowu
Economist & Data Scientist
I am an economist and data scientist currently in the final phase of my MSc in Development Economics at the University of Göttingen, Germany. I work with data and econometric methods, using R, Python, SQL/BigQuery and Stata, to answer business, market, and economic policy-relevant questions in business organization, development economics, agricultural and environmental economics.
What I work on
Development, Agriculture & Environment
Focus on development economics, agricultural economics and environmental economics, with applications to trade and policy.
Data Science & Machine Learning
Building reproducible data pipelines, models and dashboards using Python, R, SQL/BigQuery and modern analytics tools.
Selected projects
A few examples of ongoing and past work. See the Projects page for more details.
Environmental Regulations & Agricultural Trade
Panel-data analysis of whether stricter EU environmental policies lead to carbon leakage through agri-food imports.
Real-Time Migration Pressure Index (RMPI)
Global machine-learning project combining climate, conflict and food-security data to predict migration pressure.
Digital Health & the Digital Divide
Research assistant work on TB-focused digital health projects, studying technology barriers and health worker facilitation.