Economic Analysis
Market studies, sector diagnostics, competitiveness analysis, and evidence-based advisory work.
Past projects
Economic modeling, logistics infrastructure, and mobility planning.
Professor Ritahi's professional experience includes economic research, market analysis, logistics infrastructure studies, cold chain feasibility work, and urban mobility planning.
Evidence-Based Project Work
Throughout my professional and academic career, I have contributed to a variety of research, consulting, and analytical projects in economics, public policy, logistics, sustainability, education, and data analytics. These projects were conducted in collaboration with public institutions, international organizations, private companies, and research centers.
My contributions have included economic analysis, econometric modeling, impact assessment, policy evaluation, forecasting, data visualization, and strategic planning. The projects presented below illustrate the diversity of my expertise and my commitment to evidence-based decision-making.
Econometric Modeling
Forecasting, impact assessment, policy evaluation, and quantitative decision support.
Strategic Planning
Feasibility studies, value-chain mapping, institutional analysis, and implementation roadmaps.
Data Visualization
Interactive maps, dashboards, project indicators, and concise reporting for decision-makers.
Project Map
18Countries
29Country project records
15Sectors
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Past projects by country
6+ projects2-5 projects1 projectProject pin
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Project Expertise
Economic modeling and market research
Engagements combine primary and secondary data collection, quantitative analysis, scenario modeling, and concise reporting for decision-makers.
Logistics infrastructure and cold chain feasibility studies
Engagements combine primary and secondary data collection, quantitative analysis, scenario modeling, and concise reporting for decision-makers.
Urban mobility planning and transport demand forecasting
Engagements combine primary and secondary data collection, quantitative analysis, scenario modeling, and concise reporting for decision-makers.
Macroeconomic, sectoral, and regulatory analysis
Engagements combine primary and secondary data collection, quantitative analysis, scenario modeling, and concise reporting for decision-makers.