Artur Obminski
PhD Candidate in Economics
Paris School of Economics
Université Paris 1 Panthéon-Sorbonne
Swedish Institute for Social Research
Institut Convergences Migrations
Mistra Center for Sustainable Markets
Welcome
Currently a PhD candidate at the Paris School of Economics, I use tools such as Python, R, Stata, and QGIS to study international migration, attitudes, educational choices, and health. I am also affiliated with Université Paris 1 Panthéon-Sorbonne, where I am teaching Statistics and Probability and have previously taught econometrics, the Swedish Institute for Social Research (SOFI) at Stockholm University, the Mistra Center for Sustainable Markets (Misum) at the Stockholm School of Economics, and the Institut Convergences Migrations, a CNRS research institute.
From the Paris School of Economics, I am well trained in using quantitative tools, including R, Stata, and GIS, to analyze data for policy relevant insights. From Whispr Group, I also have almost 10 years of experience analyzing structured and unstructured qualitative and quantitative data to find and deliver insights to executives in a range of sectors. In addition, I have the theoretical underpinnings in topics such as education, development, political economy, and public economics to put them into context.
- Economics of Migration
- Political Economy
- Cultural Economics
- Economic History
- Development Economics
- Urban Economics
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PhD in Economics (ongoing), 2021-
Paris School of Economics & Université Paris 1 Panthéon-Sorbonne
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MRes in Applied Economics with a specialization in Public Policy and Development, 2020
Paris School of Economics
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BSc in Business and Economics, 2017
Stockholm School of Economics
Research Projects
Technical skills
Experienced
Experienced
Intermediate
Intermediate
Intermediate
Experienced
Experience
- Migration economics, with a focus on integration, mental health, and labor/education
- Using Python, R, Stata, and QGIS, with registry data, big data, and experiments
- Independent as well as collaborative and interdisciplinary work, including supervision
- In charge of tutorials for approximately 120 students of the Statistics and Probability course
- Planning, teaching, grading, and administering, all in the French language
- Analyzing media coverage and customer sentiments, over time and in connection with important events
- Responsible for delivering key insights to boards of large multinational organizations in preparation for large strategic decisions
- Using Microsoft Excel and AI tools to analyze large quantities of data
- Working both independently and in teams
- Citizen Representative in Panel 3 on Climate, Environment, and Health
- Working Group on Green Transportation
- In charge of tutorials in Introduction to Econometrics course
- Prepared classes, taught, replied to students' questions, prepared midterm examinations , and corrected examinations
- Quantitative analysis in Stata, literature research, project implementation, and liaison with external partners
- Projects on immigrant integration, child literacy, political representation, and COVID-19 in Sweden, India, and Uganda
- Identified, negotiated, and collaborated with researchers, government officials, NGOs, and farmers involved in the dissemination of biofortified (nutrient enhanced) crops
- Processed monitoring and evaluation data and supervised 7 research assistants’ data work
- Planned, organized, and led stakeholder workshops in collaboration with the World Bank
- Presented my work, to guide similar projects in other countries, at an Amsterdam conference
- Planned and conducted English lessons for around 350 students ages 14 to 18
- Worked independently while reinforcing colleagues' previous lessons and Ministry learning objectives
- Achieved “extremely positive” reviews in students’ evaluations and a high degree of satisfaction from colleagues, superiors, and the Ministry of Education
Accomplishments
Languages
Fluent
Fluent
Advanced
Advanced
Intermediate
