Economist

Evidence before opinion.

Econometrics and causal inference, public policy evaluation, machine learning, and applied AI.

Ulrich Djidonou
Positioning

Economist: connecting issues, rigor, and practical tools.

My approach involves analyzing a question or issue. To address it, the deliverable may take the form of a descriptive data analysis (e.g., administrative data, surveys), a public policy evaluation, an econometric analysis, a dashboard, a predictive model, a research pipeline, or automated monitoring.

My work has also informed real-world decisions: a research study recognized for its rigor by a board of directors and used in discussions on the evolution of a public program; the co-authoring of a report submitted to the Quebec National Assembly; and six academic research partnerships (see my career).

Public policy Econometrics (e.g., causal inference) Machine learning Applied AI Dashboards Strategic monitoring
Featured projects

Projects in data analysis, research monitoring, econometrics, and applied AI

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Career

A career in research and public decision-making

Several years of applied research at public institutions in Quebec: the Parental Insurance Management Board, the Quebec Ministry of Finance, the University of Sherbrooke (UdeS), and the National School of Public Administration (ENAP). From one assignment to the next, the same four-step method: formulate the question, build the evidence, make the analysis actionable, and communicate in an accessible way what the results show, what they do not show, and what they enable us to decide.

Contact

Discussing economics, data, and research

Whether you have a question about a project, want to discuss methodology, are interested in a research collaboration, or have an idea you would like to test against the data: feel free to write to me in French or English.