Applied Econometrics
Microeconometrics, causal inference, quasi-experimental designs and panel data methods in R, Stata and Python.
Economics · Data · Development
Economist & Data Scientist
My name is Ayodele Idowu. I am a Doctoral Researcher (PhD Candidate) in Economics at the Chair of Food Economics and Policy, University of Göttingen, working on a DFG-funded project on the interactions between standards, international trade, and commodity markets.
My research focuses on the interactions among international trade, trade-related environmental policy, and agricultural markets, examining how standards, regulations, and economic incentives shape international commodity markets and economic welfare across firms and developing and developed economies. I combine structural gravity models, quasi-experimental designs, and machine learning methods on large trade and geospatial datasets.
Before my doctorate, I worked as a Data Scientist at TNI Network Inc. (Canada) and as a Research Data Analyst at Novartis (Nigeria), building predictive models and analytics pipelines in Python, R, and SQL. I hold an MSc in Development Economics from the University of Göttingen as a DAAD Scholar, and a BSc (Hons) in Economics from the Federal University of Agriculture, Abeokuta, Nigeria.
Expertise
Microeconometrics, causal inference, quasi-experimental designs and panel data methods in R, Stata and Python.
Development economics, agricultural trade, food security, carbon policy and environmental economics.
Reproducible pipelines, predictive models, NLP, dashboards and geospatial analytics at scale.
Portfolio
A few examples of ongoing and past work.
Panel-data analysis of whether stricter EU environmental policies lead to carbon leakage via agri-food imports.
Global ML index combining climate, conflict and food-security data to predict migration pressure at subnational level.
RA work on TB-focused digital health projects studying technology barriers and health worker facilitation.
Updates